Find AI Work That Works for You

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Magical is redefining how work gets done.Our agentic AI platform brings "AI employees" into the workplace to take over the repetitive, soul-crushing workflows that slow teams down. The result: organizations move faster, with sharper focus, and deliver better outcomes where it matters most, like improving patient care.The shift to agentic work is inevitable, and we’re leading it. We've scaled from $0 -> $XM ARR in 3 months with our agentic product, and we're looking for engineers to help us reach $XXM ARR in the next 9 months. As a founding engineer, you won’t just be writing code, you’ll be shaping the playbook for the future of work alongside a small, relentless team pushing the edge of what’s possible with AI.We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion, including Greylock, Coatue, and Lightspeed. The runway is long. The ambition is high. And the market is wide open.About the rolePush the frontier of how agents interact with the browser, improving speed, reliability, and coverage across real-world appsBuild and evolve how multiple agents collaborate to solve complex workflowsDesign and scale the systems that make Magical run seamlessly on desktop, unlocking enterprise-grade stability and performanceBuild rigorous verification systems that guarantee our agents are doing the right thing every timeAbout youHave 2+ years of software engineering experience, mostly in TypeScriptHave a strong bias towards action, a willingness to do whatever it takes, and embody show > tellHave a strong sense of agency, effectively prioritizing and unblocking yourself without much outside input.Value taking ownership and responsibility for your projects and systems.Studied Computer Science (or related field), or dropped out to build stuffLocated in SF or willing to relocateWhat we offerA chance to be an early team member at a fast-growing, ambitious companyThe opportunity to push the boundaries of what’s possible with AIA modern stack and the latest tools to do your best workCompetitive salary and meaningful equityUnlimited PTOFun team offsites, past trips include Iceland, Lisbon, Cancun, and Costa RicaTech stackTypeScriptBackend: Node, AI SDK, Hono, Drizzle, Postgres (neon), and Railway

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We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.What You’ll DoLead a team of system designers responsible for translating architecture into detailed, executable infrastructure designs across compute, storage, and networking.Build and mature repeatable processes that turn Lambda’s reference architectures into site and customer-specific deployment plans.Own the delivery of infrastructure design packages, ensuring solutions meet functional requirements, budget targets, and delivery timelines.Partner closely with architecture, product, engineering, and customer teams to ensure alignment between design execution and platform roadmap.Guide the creation and review of design specifications, integration plans, and validation processes for new deployments.Mentor and grow a high-performing team of infrastructure designers, focused on disciplined execution and iterative delivery.YouHave 5+ years of experience designing HPC or cloud infrastructure at scale, with 2+ years in a technical leadership or management role.Understand the practical application of compute, storage, and network architectures in real-world, large-scale deployments.Can take an established architectural direction and lead your team in producing high-quality designs that deliver reliably, on-time, and within scope.Are adept at managing tradeoffs and risk in infrastructure delivery—balancing technical ambition with operational realism.Have experience mentoring senior-level technical contributors and building cohesive, execution-focused teams.Nice to HaveExperience supporting AI/ML or simulation workloads in high-performance environments.Familiarity with system integration, hardware bring-up, or working alongside hardware engineering teams.Background in designing for hyperscale or enterprise environments, especially where customer requirements drive significant customization.Understanding of delivery workflows, BOM creation, and vendor coordination in infrastructure deployment contexts.Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About The Role     As a Security Engineer at Cerebras Systems, you will help secure the world’s largest AI compute and the fastest AI inference platform. In this role, you’ll focus on product security, identifying and mitigating weaknesses in our software stack by building AI powered security tools, performing code reviews, conducting security testing and assessments. You will work at the intersection of cutting-edge AI and modern security engineering.    Key Responsibilities  Build AI-powered security tools and security pipelines leveraging Cerebras world-class inference to detect and remediate vulnerabilities across the software development lifecycle.  Implement and maintain security best practices for cloud infrastructure, containerized environments, and Kubernetes platforms, ensuring secure design, deployment, CD/CI pipelines and operations.  Partner with development and operation teams to provide security guidance, foster secure coding practices and drive a culture of security awareness across the organization.  Conduct threat modeling and risk assessments to proactively identify risks and develop mitigation strategies.  Track, analyze and manage third-party supply chain vulnerabilities across applications and infrastructure (on-prem and cloud) and support teams in timely remediation.  Assist in security incident response, including investigation, analysis, resolution and documentation of application related incidents.  Skills & Qualifications  5+ years of experience in Application Security, Product Security or Security Engineering roles.  Bachelor /master's in computer science, Information Security or related field from a top-tier institution or proven security research track record (open-source security tool contributions or bug bounties).  Proficiency in programming languages (Python, Go, C++ etc.) and system design.  Deep understanding of Cybersecurity basics, including threat modeling, risk assessments and incident response.  Experience with code security (SAST, DAST, Secure supply chain, IAC security etc).  Knowledge of web security tools (e.g. Burp Suite, OWASP ZAP), familiarity with security protocols and applied cryptography.  Strong written and verbal communication skills, with the ability to explain complex security issues to both technical and non-technical audiences. Assets Experience securing applications in high-speed startup environments.  Exposure to AI/ML security, Adversarial AI or large-scale computational workload security.  Exposure to OWASP Top 10, CIS Benchmarks or compliance frameworks.  Top bug bounty rankings, CVEs or public Hall of Fame shout-outs.  Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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Job Title: Senior AI EngineerLocation: LATAM (Remote)Working Hours: 40 hs - Full time - Monday to Friday Required Overlap: 9 AM–3 PM PSTCompensation: $5,000- $7,000/month (DOE)About the CompanyOur client is a platform designed for software teams, that helps engineers, product managers and technical writers create, maintain, and optimize high-quality product, user, and API guides effortlessly. They enable their customers to streamline documentation workflows.About the RoleAs a Senior AI Engineer, you will shape the future of our platform by implementing AI agents, fine-tuning large language models (LLMs), and integrating machine learning (ML) capabilities. This is a unique opportunity to be part of a small but highly ambitious team, where your work will have a direct impact on the product, customers, and company trajectory.What You’ll DoLead the development and deployment of AI agents to enhance platform features and efficiency.Fine-tune and optimize large language models (LLMs) to align with specific use cases and customer needs.Design and implement ML algorithms to power innovative solutions for content quality scoring, style enforcement, and workflow automation.Collaborate closely with founders to identify and prioritize AI-driven solutions.Establish best practices and contribute to the long-term AI/ML roadmap.Qualifications:Bachelor's or Master's degree in Computer Science, Engineering, or a related field.5 years of experience in AI and ML development, with demonstrated expertise in deploying production-grade solutions.2 years of experience building applications using LLMs.Proficiency in programming languages such as Python and TypeScript.Strong understanding of natural language processing (NLP) and its applications.Proficient in designing, implementing, and maintaining RESTful APIs.Excellent problem-solving and collaboration skills.Strong sense of ownership and accountability for delivering impactful solutions.Strong collaboration, communication, and problem-solving skills; committed to continuous learning about emerging technologies and best practices.Experience utilizing AI tooling to enhance daily engineering efficiency.Preferred Qualifications:Familiarity with Google Cloud tools for AI/ML deployment and scalability.Familiarity with data pipeline development and data engineering.

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Why voize? Because we’re more than just a job!At voize, we’re revolutionizing the healthcare industry with AI: Nurses simply speak their documentation into their smartphones, and our AI automatically generates the correct entries. This saves each nurse an average of 39 minutes per day, improves the quality of documentation, and makes their daily work much more rewarding.voize is YCombinator-funded, already in use at over 1000 senior care homes, and has grown by 100% in the last 90 days. Our customers save over 3.5 million hours annually - time spent on people instead of paperwork.But this is just the beginning. With our self-developed voize AI, we’re transforming not only the healthcare industry, but also have the potential to create value in many other sectors – from healthcare to inspections.As a dynamic team, we blend cutting-edge technology with social impact. And now, we are looking for You to join us!💡 Your Mission: Delight customers, optimise processes!As a Customer Education Manager at voize, you will own how customers learn. You will be involved in the instructional design, the user training and the enablement operations for our clients and the users of the platform. You will plan the curriculum, design and deliver micro-learning educational content to frontline users, develop training for coaches and partners, and ensure internal onboarding managers are set up for success.🚀 Your Daily Business – No two days are alikeDesign Learning: Build scalable, mobile-first learning pathways for users, partners, and managersCreate Content: Produce videos, modules, playbooks, and manage knowledge systemsTrain & Enable: Lead onsite trainings, user research, and train-the-trainer programsCollaborate: Align with Product, Sales, and Success teams to support the customer journeyOptimize: Track metrics, analyze feedback, and continuously improve learning impact by iteration🤝 Your Skillset – What you bring to the tableWillingness and ability to travel across Germany 4–6 times per month for customer trainings and field research3+ years of experience in instructional design, enablement, or learning experience designExpertise in microlearning, mobile-first learning, or adaptive learning strategiesStrong writing, structuring, and visual design skills for content creationComfortable collaborating across teams and taking ownership of end-to-end projects🎯 Our Success Mindset – How we work at voizeYou’re confident in German (C2 or above) and English (C1 or above), in order to deliver top-quality training both internally and externally. You’re resilient - you see challenges as opportunities, not obstaclesYou work iteratively - test, learn, and improve instead of aiming for perfectionYou're a project manager - you can manage multiple projects at once, and can collaborate cross-functionally. You have a critical eye - with great attention to detail and a UX mindset🌱 Growing together – what you can expect at voizeWe are a fast-growing startup, that means you will tackle challenges, grow quickly, and make a real impact, giving healthcare professionals more time for real patient careWe foster an open, collaborative culture with regular team events, whether you work from our Berlin office or remotely from GermanyBecome a co-creator of our success with stock optionsGenerous perks: 30 vacation days plus your birthday off, Germany Transport Ticket, Urban Sports Club, regular company off-sites, and access to learning platforms such as Blinkist and AudibleYou decide when you work best, that means flexible working hours and a good hybrid set-up.✨ Ready to talk? Apply now! 🚀We look forward to your application and can’t wait to meet you – no matter who you are or what background you have!

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Welcome to the video first world From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video. Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now…. Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: You will work end-to-end, contributing to our client application written in React and our monolithic backend written in Python, and managing the safe release of your features to our customer base. You will have sole ownership of projects that span months, requiring you to have the ability to break a problem down into small steps that can be delivered and validated iteratively. You will work directly with the product manager responsible for your project, meaning that you will be expected to ideate and focus on the commercial problem that you're solving, and you will have the opportunity to shape the direction of the product. You will evaluate your own work, leveraging our data pipeline and frameworks that we have established to understand the impact your features have on our commercial objectives and pivoting where necessary. You will consider the long-term direction of the team, making sure that we are developing the engineering capabilities that will allow us to stay ahead of the challenges we are likely to encounter in 6-12 months' time.   What we're looking for: At least seven (7) years of experience as a software engineer, at least 3 on the senior/lead level. You have experience in a high-performing engineering team that is operating at scale. This could come from a scale-up environment or a more established organization recognised for building and shipping with a great engineering culture. An ability to work across the stack, with deep knowledge on server side and all things back end related. BE only experience is OK if you are happy to occasionally help out with FE. Relevant engineering experience for a team building an enterprise-grade SaaS product delivering AI-powered video generation; billing systems, experimentation platforms, video delivery systems, online editors, real-time collaboration and so on. Strong alignment with commercial success. Previous leadership experience of smaller teams is a plus.    Why join us? We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why, Our culture At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. Serving 50,000+ customers (and 50% of the Fortune 500) We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. Proprietary AI technology Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind. AI Safety, Ethics and Security AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always.  Learn more about our commitments to AI Ethics, Safety & Security.   The hiring process: 30-40min call with our technical recruiter 45min call with engineers about your past projects Take-home assignment (no alternative is offered) - does not have a deadline and is syntax-agnostic, so you're welcome to use the tools and languages you're most comfortable with. That said, we strongly prefer contributions using our core stack: React/TypeScript on the frontend, and Python/Flask on the backend. 60min technical discussion 30min call with leadership  The process does not need to take long - we can be done in seven working days.   Other important info: This is a remote role from an EU country, UK or Switzerland.  The salary starts at EUR/GBP/CHF 100.000 base + stock option plan. This is full-time employment only - no contractors possible - usually through OysterHR. Everyone at Synthesia gets 25 days of leave + local holidays (no extra paid or unpaid leave possible). We only sponsor VISA if you are in the UK/EU country already and need support - we do not relocate people.

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Welcome to the video first world From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video. Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now…. Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: You will work end-to-end, contributing to our client application written in React and our monolithic backend written in Python, and managing the safe release of your features to our customer base. You will have sole ownership of projects that span months, requiring you to have the ability to break a problem down into small steps that can be delivered and validated iteratively. You will work directly with the product manager responsible for your project, meaning that you will be expected to ideate and focus on the commercial problem that you're solving, and you will have the opportunity to shape the direction of the product. You will evaluate your own work, leveraging our data pipeline and frameworks that we have established to understand the impact your features have on our commercial objectives and pivoting where necessary. You will consider the long-term direction of the team, making sure that we are developing the engineering capabilities that will allow us to stay ahead of the challenges we are likely to encounter in 6-12 months' time.   What we're looking for: At least seven (7) years of experience as a software engineer, at least 3 on the senior/lead level. You have experience in a high-performing engineering team that is operating at scale. This could come from a scale-up environment or a more established organization recognised for building and shipping with a great engineering culture. An ability to work across the stack, with deep knowledge on server side and all things back end related. BE only experience is OK if you are happy to occasionally help out with FE. Relevant engineering experience for a team building an enterprise-grade SaaS product delivering AI-powered video generation; billing systems, experimentation platforms, video delivery systems, online editors, real-time collaboration and so on. Strong alignment with commercial success. Previous leadership experience of smaller teams is a plus.    Why join us? We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why, Our culture At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. Serving 50,000+ customers (and 50% of the Fortune 500) We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. Proprietary AI technology Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind. AI Safety, Ethics and Security AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always.  Learn more about our commitments to AI Ethics, Safety & Security.   The hiring process: 30-40min call with our technical recruiter 45min call with engineers about your past projects Take-home assignment (no alternative is offered) - does not have a deadline and is syntax-agnostic, so you're welcome to use the tools and languages you're most comfortable with. That said, we strongly prefer contributions using our core stack: React/TypeScript on the frontend, and Python/Flask on the backend. 60min technical discussion 30min call with leadership  The process does not need to take long - we can be done in seven working days.   Other important info: This is a remote role from an EU country, UK or Switzerland.  The salary starts at EUR/GBP/CHF 100.000 base + stock option plan. This is full-time employment only - no contractors possible - usually through OysterHR. Everyone at Synthesia gets 25 days of leave + local holidays (no extra paid or unpaid leave possible). We only sponsor VISA if you are in the UK/EU country already and need support - we do not relocate people.

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.So, what’s the role all about? The Prompt Engineer optimizes prompts to generative AI models across NiCE's Illuminate applications. As part of the Illuminate Research team, the Prompt Engineer works with several groups in the business to help our applications deliver the highest quality customer experience. The Prompt Engineer partners with global development teams to help diagnose and resolve prompt-based issues. This includes helping to define and execute tests for LLM-based systems that are difficult to evaluate with traditional test automation tools. The Prompt Engineer also helps educate the development teams on advances in prompt engineering and helps update production prompts to evolving industry best practices.   How will you make an impact? Regularly review production metrics and specific problem cases to find opportunities for improvement. Help diagnose and resolve issues with production prompts in English. Refine prompts to generative AI systems to achieve customer goals. Collect and present quantitative analysis on solution success. Work with application developers to implement new production monitoring tools and metrics. Work with architects and Product Managers to implement prompts to support new features. Meet regularly with teams working in United States Mountain and Pacific time zones (UTC-7:00 and UTC-8:00). Review new prompts and prompt changes with Machine Learning Engineers. Consult with Machine Learning Engineers for more challenging problems. Stay informed about new advances in prompt engineering.   Have you got what it takes?   Fluent in written and spoken English. BS in technology-related field such as computer science, business intelligence/analytics, or finance. 2-4 years' work experience in a technology-related industry or position. Familiarity with best practices in prompt engineering, to include differences in prompts between major LLM vendors. Ability to develop and maintain good working relationships with cross-functional teams. Ability to clearly communicate and present to internal and external stakeholders. Experience with Python and at least one web app framework for prototyping, e.g., Streamlit or Flask.   You will have an advantage if you also have Basic AWS resource management, including microservice deployment. Containerization via Docker. Experience with both standard and AI-based testing frameworks such as PyTest and DeepEval. Exposure to generative AI application frameworks like LangChain, LlamaIndex, and griptape   What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!   Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.   Requisition ID: 8429 Reporting into: Tech Manager Role Type: Individual ContributorAbout NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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📍 Working arrangement: United States (Remote - work from anywhere in the United States)Build Intelligent Systems from Model to UI - and Everything in BetweenAt BJAK, we’re using AI to reinvent how financial services work across Southeast Asia - making them smarter, simpler, and more inclusive. As a Founding Full Stack AI Engineer, you’ll bridge machine learning and software engineering to deliver real AI-powered features into users’ hands.This is a remote role based in the US, working closely with our Malaysia HQ and cross-functional regional teams. You’ll operate across the stack - from backend logic and ML integration to frontend delivery - building intelligent systems that scale fast and matter deeply.Why This Role MattersYou’ll be the critical link between AI models and user-facing experiencesYour work will shape how millions of people interact with smart financial servicesYou’ll architect and deliver full-stack systems that combine backend, ML, and frontend layersYou’ll thrive in a lean, high-impact team where speed, ownership, and collaboration are everythingWhat You’ll DoBuild and deploy full-stack applications that incorporate ML modelsWork with data scientists and ML engineers to integrate models into scalable backend systemsDevelop APIs, backend services, and real-time data pipelines for intelligent featuresDesign clean, performant, and intuitive UIs that surface AI insights to usersOwn the full development lifecycle - from architecture and testing to deployment and monitoringCollaborate with product, design, and engineering teams to ship polished, end-to-end solutionsContinuously improve the performance, usability, and reliability of AI-integrated applicationsYou’ll Thrive Here If You...Own the outcome, you care about impact, not just lines of codeSolve problems end-to-end, from data and systems to UI and user flowBuild fast and iterate even faster, V1 out now beats V3 somedayMove forward even in chaos, ambiguity, shifting priorities, and lean resources excite youThink like a founder - you don’t wait to be told, you figure it out and shipLearn aggressively, new tools, frameworks, and failures fuel your growthHave the humility to learn from others and the drive to help them growBring energy, clarity, and execution - and raise the bar for your team every dayRequirementsBachelor’s degree in Computer Science, Software Engineering, or related fieldStrong proficiency in Python is a must2 - 4 years of experience in full stack development (frontend + backend)Strong programming skills in JavaScript (Node.js, React, or similar)Experience integrating ML models into production systemsFamiliarity with REST APIs, cloud deployment, and scalable architectureComfortable working with SQL/NoSQL databases and distributed systemsStrong grasp of software design patterns, testing, and debuggingMust be based in the US and open to remote collaboration with international teamsNice to HaveExperience deploying ML models using tools like FastAPI, Flask, or TensorFlow ServingFamiliarity with modern frontend stacks like Next.js, Vue, or TypeScriptExposure to ML tools like MLflow, Airflow, Docker, GCP, or AWSBackground in high-growth startups or agile product teamsInterest in explainable AI, visualizations, or surfacing complex ML outputs to end usersWhat You’ll GetCompetitive salary and performance-based bonusesRemote-first setup with flexibility to work from anywhere in the USHigh-impact, high-ownership role in a product-led AI companyFlat structure - your ideas are valued, and your code is seenFast-track growth with real visibility across engineering, data, and productRegional exposure across Southeast Asia and the chance to shape products at scaleAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform. Headquartered in Malaysia and operating across Thailand, Taiwan, and Japan, we help millions of users access affordable financial protection through smart, AI-driven systems. We simplify complex financial products through automation, recommendation engines, and intelligent APIs - making them more accessible, transparent, and fair.If you're excited to bring AI to life through full-stack engineering - and thrive in a fast-moving, high-ownership environment - we’d love to hear from you.

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📍 Working arrangement: United States (Remote - work from anywhere in the US)Build AI Systems That Make Finance Simpler, Smarter, and More InclusiveAt BJAK, we’re using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As a Founding AI/ML Software Engineer, you’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search.This is a remote role based in United States, working closely with our HQ in Malaysia and regional teams across Southeast Asia. You’ll join a fast-paced, flat team structure where your execution and ideas shape real-world outcomes every day.Why This Role MattersYour work will directly impact user experience, efficiency, and platform intelligenceYou’ll contribute to production-grade AI systems that serve millionsYou’ll collaborate across functions and build scalable ML tools from the ground upYou’ll grow quickly in a lean, high-impact engineering environmentWhat You’ll DoWork with product, data, and engineering teams to define ML goals and technical strategiesDesign, build, and deploy machine learning models that power personalization, automation, and insight generationManage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deploymentBuild scalable ML infrastructure and deployment pipelinesIntegrate ML outputs into user-facing products and backend systemsStay current with AI/ML trends and apply relevant innovations into our stackContribute to debugging, testing, and optimization of production ML systemsYou’ll Thrive Here If You...Take full ownership - you don’t just build models, you make sure they drive real-world resultsAre a self-starter who figures things out fast, even when there’s no manual or roadmapMove with urgency - you adapt quickly, ship fast, and improve even fasterOwn problems end-to-end - from messy data to deployment, and everything in betweenBring a team-first attitude - you’re humble, helpful, and raise the bar for those around youPush through chaos - startup pace, shifting priorities, and ambiguity don’t throw you offLearn obsessively and share openly - you level up fast and help others do the sameRequirementsBachelor’s degree in Computer Science, Data Science, Engineering, or a related technical fieldStrong proficiency in Python is a must2 - 4 years of experience in machine learning or backend software developmentExperience using frameworks like TensorFlow, PyTorch, or Scikit-learnSolid understanding of ML workflows: data cleaning, model development, tuning, evaluationFamiliar with model deployment, API development, or real-world ML integrationExperience with tools like Google Colab, Jupyter, and cloud ML platformsStrong analytical, problem-solving, and communication skillsMust be based in US and open to remote collaboration across time zonesNice to HaveExperience with NLP, computer vision, or recommendation systemsFamiliarity with cloud services (e.g., AWS, GCP, Azure)Exposure to Docker, Git, or CI/CD toolsBackground working in a high-growth startup or agile product environmentWhat You’ll GetCompetitive salary and performance-based bonusesFlexible, fully remote work arrangement from anywhere in the USDirect impact - your work reaches millions of users across AsiaFlat structure - your voice is heard, your contributions are seenOpportunities for rapid personal and technical growthRegional exposure and collaboration across Southeast AsiaAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, helping millions of users access affordable, transparent financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial services using AI, automation, and smart APIs. We're building the next generation of intelligent systems to make finance better, faster, and fairer for everyone.If you’re excited about building ML systems that solve real-world problems at scale - and thrive in a high-impact, mission-driven team - we’d love to hear from you.

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📍 Working Arrangement: United States (Remote - work from anywhere in United States)Shape AI That Powers the Future of Financial Access Across Southeast AsiaAt BJAK, we’re using AI to solve meaningful problems — from fraud detection and risk modeling to hyper-personalized financial experiences that make insurance and financial services more accessible. We’re looking for a Founding Lead AI Engineer based in the US to play a pivotal role in building, scaling, and leading the next generation of intelligent systems.This role blends deep technical expertise with hands-on leadership, reporting directly to our Head of AI. You’ll write production code, shape strategy, mentor team members, and help grow a lean, world-class AI engineering team.Why This Role MattersYou’ll design and deploy core AI systems that serve millions across the regionYou’ll be the right hand to the Head of AI — driving technical execution and engineering standardsYou’ll lead and mentor junior engineers to elevate team performance and capabilitiesYou’ll play a critical role in hiring and scaling a high-performance AI teamWhat You’ll DoDesign, build, and ship production-grade ML models for high-impact use casesLead model architecture, data pipeline design, and deployment strategiesCollaborate across product, engineering, and data teams to drive AI initiativesOwn the end-to-end ML lifecycle — from data prep to deployment and monitoringReview code, guide projects, and mentor engineers through technical challengesChampion experimentation, continuous learning, and AI best practicesInterview and evaluate candidates, contributing to technical hiring and team buildingStay ahead of ML advancements — and bring cutting-edge solutions into productionYou’ll Thrive Here If You...Lead from the front — you’re hands-on in code, but always lifting othersThink like an owner — you don’t wait for permission to solve a problemOperate at speed and depth — you make fast, sound decisions that balance trade-offsPush for clarity — even in chaos, you bring structure, direction, and accountabilityCare about what ships — you focus on solving real-world problems, not just academic onesGrow the team, not just the tech — you enjoy mentoring, coaching, and seeing others winAdapt fast — priorities shift, ambiguity is the norm, and you navigate both with confidenceHave a builder’s mindset — fast prototypes, strong opinions, and a hunger to iterateKeep learning — you’re constantly leveling up your technical, product, and leadership gameRequirementsBachelor's or Master’s degree in Computer Science, Engineering, or a related fieldStrong proficiency in Python is a must4–6 years of experience in AI/ML engineering with real-world deployment experienceDeep familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)Solid understanding of the end-to-end ML lifecycle: data pipelines, training, validation, monitoringExperience working on applied AI problems (e.g., recommendation, fraud, risk, NLP, etc.)Track record of technical leadership and mentoring engineersExcellent communication and collaboration skillsMust be based in the US and open to working remotely with regional teamsNice to HaveExperience with MLOps tooling (e.g., MLflow, Airflow, Docker, GCP/AWS)Familiarity with responsible AI practices (fairness, interpretability, model governance)Startup or scale-up environment experienceExposure to building internal tools, reusable ML components, or AI platformsWhat You’ll GetCompetitive salary and performance-based bonusesFully remote and flexible work arrangement from anywhere in the USHigh ownership role with impact visible at a regional scaleDirect reporting line to Head of AI with exposure to senior leadershipOpportunity to lead and shape a growing AI engineering teamFast-track career growth and learning opportunities in a high-speed environmentCollaborative, flat culture where ideas move fast and great work gets noticedAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, serving millions of users with transparent, affordable financial protection. Headquartered in Malaysia, and active in Thailand, Taiwan, and Japan, we’re building AI-driven systems that make complex financial services accessible, fast, and fair.We believe in technology that moves fast and serves real needs — from personalized pricing engines to smart automation and fraud detection. Join us in reshaping the future of financial access across Asia.If you’re ready to build, lead, and scale AI that matters — and want to grow with a company that thinks big and moves fast — we’d love to hear from you.

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📍 Working arrangement: United States (Remote - work from anywhere in the US)Build AI Systems That Make Finance Simpler, Smarter, and More InclusiveAt BJAK, we’re using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As a AI/ML Software Engineer, you’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search.This is a remote role based in United States, working closely with our HQ in Malaysia and regional teams across Southeast Asia. You’ll join a fast-paced, flat team structure where your execution and ideas shape real-world outcomes every day.Why This Role MattersYour work will directly impact user experience, efficiency, and platform intelligenceYou’ll contribute to production-grade AI systems that serve millionsYou’ll collaborate across functions and build scalable ML tools from the ground upYou’ll grow quickly in a lean, high-impact engineering environmentWhat You’ll DoWork with product, data, and engineering teams to define ML goals and technical strategiesDesign, build, and deploy machine learning models that power personalization, automation, and insight generationManage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deploymentBuild scalable ML infrastructure and deployment pipelinesIntegrate ML outputs into user-facing products and backend systemsStay current with AI/ML trends and apply relevant innovations into our stackContribute to debugging, testing, and optimization of production ML systemsYou’ll Thrive Here If You...Take full ownership - you don’t just build models, you make sure they drive real-world resultsAre a self-starter who figures things out fast, even when there’s no manual or roadmapMove with urgency - you adapt quickly, ship fast, and improve even fasterOwn problems end-to-end - from messy data to deployment, and everything in betweenBring a team-first attitude - you’re humble, helpful, and raise the bar for those around youPush through chaos - startup pace, shifting priorities, and ambiguity don’t throw you offLearn obsessively and share openly - you level up fast and help others do the sameRequirementsBachelor’s degree in Computer Science, Data Science, Engineering, or a related technical fieldStrong proficiency in Python is a must2 - 4 years of experience in machine learning or backend software developmentExperience using frameworks like TensorFlow, PyTorch, or Scikit-learnSolid understanding of ML workflows: data cleaning, model development, tuning, evaluationFamiliar with model deployment, API development, or real-world ML integrationExperience with tools like Google Colab, Jupyter, and cloud ML platformsStrong analytical, problem-solving, and communication skillsMust be based in US and open to remote collaboration across time zonesNice to HaveExperience with NLP, computer vision, or recommendation systemsFamiliarity with cloud services (e.g., AWS, GCP, Azure)Exposure to Docker, Git, or CI/CD toolsBackground working in a high-growth startup or agile product environmentWhat You’ll GetCompetitive salary and performance-based bonusesFlexible, fully remote work arrangement from anywhere in the USDirect impact - your work reaches millions of users across AsiaFlat structure - your voice is heard, your contributions are seenOpportunities for rapid personal and technical growthRegional exposure and collaboration across Southeast AsiaAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, helping millions of users access affordable, transparent financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial services using AI, automation, and smart APIs. We're building the next generation of intelligent systems to make finance better, faster, and fairer for everyone.If you’re excited about building ML systems that solve real-world problems at scale - and thrive in a high-impact, mission-driven team - we’d love to hear from you.

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📍 Working arrangement: United Kingdom (Remote - work from anywhere in the UK)Build Intelligent Systems from Model to UI - and Everything in BetweenAt BJAK, we’re using AI to reinvent how financial services work across Southeast Asia - making them smarter, simpler, and more inclusive. As a Founding AI Engineer, you’ll bridge machine learning and software engineering to deliver real AI-powered features into users’ hands.This is a remote role based in the UK, working closely with our Malaysia HQ and cross-functional regional teams. You’ll operate across the stack - from backend logic and ML integration to frontend delivery - building intelligent systems that scale fast and matter deeply.Why This Role MattersYou’ll be the critical link between AI models and user-facing experiencesYour work will shape how millions of people interact with smart financial servicesYou’ll architect and deliver full-stack systems that combine backend, ML, and frontend layersYou’ll thrive in a lean, high-impact team where speed, ownership, and collaboration are everythingWhat You’ll DoBuild and deploy full-stack applications that incorporate ML modelsWork with data scientists and ML engineers to integrate models into scalable backend systemsDevelop APIs, backend services, and real-time data pipelines for intelligent featuresDesign clean, performant, and intuitive UIs that surface AI insights to usersOwn the full development lifecycle - from architecture and testing to deployment and monitoringCollaborate with product, design, and engineering teams to ship polished, end-to-end solutionsContinuously improve the performance, usability, and reliability of AI-integrated applicationsYou’ll Thrive Here If You...Own the outcome, you care about impact, not just lines of codeSolve problems end-to-end, from data and systems to UI and user flowBuild fast and iterate even faster, V1 out now beats V3 somedayMove forward even in chaos, ambiguity, shifting priorities, and lean resources excite youThink like a founder - you don’t wait to be told, you figure it out and shipLearn aggressively, new tools, frameworks, and failures fuel your growthHave the humility to learn from others and the drive to help them growBring energy, clarity, and execution - and raise the bar for your team every dayRequirementsBachelor’s degree in Computer Science, Software Engineering, or related fieldStrong proficiency in Python is a must2 - 4 years of experience in full stack development (frontend + backend)Strong programming skills in JavaScript (Node.js, React, or similar)Experience integrating ML models into production systemsFamiliarity with REST APIs, cloud deployment, and scalable architectureComfortable working with SQL/NoSQL databases and distributed systemsStrong grasp of software design patterns, testing, and debuggingMust be based in the UK and open to remote collaboration with international teamsNice to HaveExperience deploying ML models using tools like FastAPI, Flask, or TensorFlow ServingFamiliarity with modern frontend stacks like Next.js, Vue, or TypeScriptExposure to ML tools like MLflow, Airflow, Docker, GCP, or AWSBackground in high-growth startups or agile product teamsInterest in explainable AI, visualizations, or surfacing complex ML outputs to end usersWhat You’ll GetCompetitive salary and performance-based bonusesRemote-first setup with flexibility to work from anywhere in the UKHigh-impact, high-ownership role in a product-led AI companyFlat structure - your ideas are valued, and your code is seenFast-track growth with real visibility across engineering, data, and productRegional exposure across Southeast Asia and the chance to shape products at scaleAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform. Headquartered in Malaysia and operating across Thailand, Taiwan, and Japan, we help millions of users access affordable financial protection through smart, AI-driven systems. We simplify complex financial products through automation, recommendation engines, and intelligent APIs - making them more accessible, transparent, and fair.If you're excited to bring AI to life through full-stack engineering - and thrive in a fast-moving, high-ownership environment - we’d love to hear from you.

true

📍 Working Arrangement: United Kingdom (Remote - work from anywhere in the UK)Shape AI That Powers the Future of Financial Access Across Southeast AsiaAt BJAK, we’re using AI to solve meaningful problems — from fraud detection and risk modeling to hyper-personalized financial experiences that make insurance and financial services more accessible. We’re looking for a Founding Lead AI Engineer based in the UK to play a pivotal role in building, scaling, and leading the next generation of intelligent systems.This role blends deep technical expertise with hands-on leadership, reporting directly to our Head of AI. You’ll write production code, shape strategy, mentor team members, and help grow a lean, world-class AI engineering team.Why This Role MattersYou’ll design and deploy core AI systems that serve millions across the regionYou’ll be the right hand to the Head of AI — driving technical execution and engineering standardsYou’ll lead and mentor junior engineers to elevate team performance and capabilitiesYou’ll play a critical role in hiring and scaling a high-performance AI teamWhat You’ll DoDesign, build, and ship production-grade ML models for high-impact use casesLead model architecture, data pipeline design, and deployment strategiesCollaborate across product, engineering, and data teams to drive AI initiativesOwn the end-to-end ML lifecycle — from data prep to deployment and monitoringReview code, guide projects, and mentor engineers through technical challengesChampion experimentation, continuous learning, and AI best practicesInterview and evaluate candidates, contributing to technical hiring and team buildingStay ahead of ML advancements — and bring cutting-edge solutions into productionYou’ll Thrive Here If You...Lead from the front — you’re hands-on in code, but always lifting othersThink like an owner — you don’t wait for permission to solve a problemOperate at speed and depth — you make fast, sound decisions that balance trade-offsPush for clarity — even in chaos, you bring structure, direction, and accountabilityCare about what ships — you focus on solving real-world problems, not just academic onesGrow the team, not just the tech — you enjoy mentoring, coaching, and seeing others winAdapt fast — priorities shift, ambiguity is the norm, and you navigate both with confidenceHave a builder’s mindset — fast prototypes, strong opinions, and a hunger to iterateKeep learning — you’re constantly leveling up your technical, product, and leadership gameRequirementsBachelor's or Master’s degree in Computer Science, Engineering, or a related fieldStrong proficiency in Python is a must4–6 years of experience in AI/ML engineering with real-world deployment experienceDeep familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)Solid understanding of the end-to-end ML lifecycle: data pipelines, training, validation, monitoringExperience working on applied AI problems (e.g., recommendation, fraud, risk, NLP, etc.)Track record of technical leadership and mentoring engineersExcellent communication and collaboration skillsMust be based in the UK and open to working remotely with regional teamsNice to HaveExperience with MLOps tooling (e.g., MLflow, Airflow, Docker, GCP/AWS)Familiarity with responsible AI practices (fairness, interpretability, model governance)Startup or scale-up environment experienceExposure to building internal tools, reusable ML components, or AI platformsWhat You’ll GetCompetitive salary and performance-based bonusesFully remote and flexible work arrangement from anywhere in the UKHigh ownership role with impact visible at a regional scaleDirect reporting line to Head of AI with exposure to senior leadershipOpportunity to lead and shape a growing AI engineering teamFast-track career growth and learning opportunities in a high-speed environmentCollaborative, flat culture where ideas move fast and great work gets noticedAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, serving millions of users with transparent, affordable financial protection. Headquartered in Malaysia, and active in Thailand, Taiwan, and Japan, we’re building AI-driven systems that make complex financial services accessible, fast, and fair.We believe in technology that moves fast and serves real needs — from personalized pricing engines to smart automation and fraud detection. Join us in reshaping the future of financial access across Asia.If you’re ready to build, lead, and scale AI that matters — and want to grow with a company that thinks big and moves fast — we’d love to hear from you.

true

📍 Working arrangement: United Kingdom (Remote - work from anywhere in the UK)Build AI Systems That Make Finance Simpler, Smarter, and More InclusiveAt BJAK, we’re using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As a Founding AI/ML Software Engineer, you’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search.This is a remote role based in the UK, working closely with our HQ in Malaysia and regional teams across Southeast Asia. You’ll join a fast-paced, flat team structure where your execution and ideas shape real-world outcomes every day.Why This Role MattersYour work will directly impact user experience, efficiency, and platform intelligenceYou’ll contribute to production-grade AI systems that serve millionsYou’ll collaborate across functions and build scalable ML tools from the ground upYou’ll grow quickly in a lean, high-impact engineering environmentWhat You’ll DoWork with product, data, and engineering teams to define ML goals and technical strategiesDesign, build, and deploy machine learning models that power personalization, automation, and insight generationManage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deploymentBuild scalable ML infrastructure and deployment pipelinesIntegrate ML outputs into user-facing products and backend systemsStay current with AI/ML trends and apply relevant innovations into our stackContribute to debugging, testing, and optimization of production ML systemsYou’ll Thrive Here If You...Take full ownership - you don’t just build models, you make sure they drive real-world resultsAre a self-starter who figures things out fast, even when there’s no manual or roadmapMove with urgency - you adapt quickly, ship fast, and improve even fasterOwn problems end-to-end - from messy data to deployment, and everything in betweenBring a team-first attitude - you’re humble, helpful, and raise the bar for those around youPush through chaos - startup pace, shifting priorities, and ambiguity don’t throw you offLearn obsessively and share openly - you level up fast and help others do the sameRequirementsBachelor’s degree in Computer Science, Data Science, Engineering, or a related technical fieldStrong proficiency in Python is a must2 - 4 years of experience in machine learning or backend software developmentExperience using frameworks like TensorFlow, PyTorch, or Scikit-learnSolid understanding of ML workflows: data cleaning, model development, tuning, evaluationFamiliar with model deployment, API development, or real-world ML integrationExperience with tools like Google Colab, Jupyter, and cloud ML platformsStrong analytical, problem-solving, and communication skillsMust be based in the UK and open to remote collaboration across time zonesNice to HaveExperience with NLP, computer vision, or recommendation systemsFamiliarity with cloud services (e.g., AWS, GCP, Azure)Exposure to Docker, Git, or CI/CD toolsBackground working in a high-growth startup or agile product environmentWhat You’ll GetCompetitive salary and performance-based bonusesFlexible, fully remote work arrangement from anywhere in the UKDirect impact - your work reaches millions of users across AsiaFlat structure - your voice is heard, your contributions are seenOpportunities for rapid personal and technical growthRegional exposure and collaboration across Southeast AsiaAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, helping millions of users access affordable, transparent financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial services using AI, automation, and smart APIs. We're building the next generation of intelligent systems to make finance better, faster, and fairer for everyone.If you’re excited about building ML systems that solve real-world problems at scale - and thrive in a high-impact, mission-driven team - we’d love to hear from you.

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📍 工作地點：台灣（混合辦公制 - 可遠端＋配合辦公室協作）從模型到用戶界面 - 打造真正落地的智慧 AI 系統在 BJAK，我們透過 AI 重塑東南亞金融服務體驗，讓其變得更智慧、更簡單、更具包容性。作為 AI 工程師，你將串聯機器學習與軟體工程，負責系統架構設計、模型整合與前端交互，將 AI 的價值切實交付到用戶手中。此職位採混合辦公模式，以台灣為據點，並與馬來西亞總部與區域跨職能團隊協作。你將參與從後端邏輯、模型串接到前端呈現的全流程開發，打造可擴展、可上線的智慧金融解決方案。為什麼這個角色很關鍵你是連接 AI 模型與使用者體驗的關鍵橋樑你的代碼將影響數百萬用戶與智慧金融產品的互動方式你將主導設計結合後端服務、模型整合與前端界面的完整系統架構你將在一個高效率、快速迭代、重視執行的團隊中實現真實影響力你將負責的工作建構並部署整合 AI 模型的全棧應用系統與資料科學家與 ML 工程師合作，將模型嵌入可擴展後端架構中開發 API、後端服務與即時資料管線，實現智慧功能落地設計直覺、高效且具視覺品質的前端使用者介面主導開發全流程：架構設計、測試、部署與監控與產品、設計與工程團隊緊密協作，打造完整端到端解決方案持續優化系統性能、穩定性與使用體驗你將會喜歡這個角色如果你...對結果負責 - 你關心的是使用者影響，而不只是完成任務具備端到端解決問題的能力，能從資料到 UI 全面思考喜歡快速構建、快速迭代 - V1 現在上線比等 V3 更實用能在資源有限與目標模糊的狀況下推進專案擁有創業者心態 - 不等指令，自我驅動，喜歡實驗學習速度快，擅長使用新工具、框架並從錯誤中快速成長樂於帶動團隊進步，提升整體技術水準為團隊帶來正向能量、清晰結構與高效執行力職位要求資訊工程、軟體工程或相關科系本科以上學歷必須具備熟練的 Python 技能2 - 4 年全棧開發經驗（前端＋後端）精通 JavaScript（含 Node.js、React 或相關框架）有將機器學習模型部署至線上系統的經驗熟悉 REST API、雲端部署與可擴展系統架構熟練操作 SQL / NoSQL 資料庫與分散式系統熟悉軟體設計模式、測試與除錯流程常駐台灣，並可配合與國際團隊進行遠端協作加分條件有使用 FastAPI、Flask、TensorFlow Serving 部署模型經驗熟悉 Next.js、Vue、TypeScript 等現代前端技術棧熟悉 MLflow、Airflow、Docker、GCP 或 AWS 等工具有新創公司或敏捷開發環境的工作背景對可解釋性 AI、資料視覺化或複雜模型前端呈現有興趣你將獲得具市場競爭力的薪資與績效獎金混合辦公制度（遠端為主，配合團隊協作彈性進辦公室）高可見度、高主導權的技術角色，直接參與核心產品開發扁平化團隊架構 - 你的聲音會被聽見，你的成果會被肯定快速成長與橫向擴展機會（工程、數據與產品皆有曝光）跨國合作經驗，參與東南亞多個市場的技術落地關於 BJAKBJAK 是東南亞最大的數位保險平台，總部設於馬來西亞，並在泰國、台灣與日本設有業務據點。我們透過智慧 AI 系統協助數百萬用戶獲得可負擔的金融保障。從推薦引擎、自動化流程到智慧 API，我們致力讓金融服務變得更透明、更公平、更普及。-------------------------------------------------------------📍 Working arrangement: Hybrid (based in Taiwan - remote first with office collaboration)Build Intelligent Systems from Model to UI - and Everything in BetweenAt BJAK, we’re reinventing how financial services work across Southeast Asia using AI — making them smarter, simpler, and more inclusive. As a Full Stack AI Engineer, you’ll bridge ML and software engineering, building the infrastructure, integrations, and UI that put meaningful AI into users’ hands.This is a hybrid role based in Taiwan, collaborating with our Malaysia HQ and cross-functional teams across the region. You’ll work across backend systems, model integration, and frontend interfaces to ship scalable, production-ready intelligent systems.Why This Role MattersYou’ll connect AI models to real-world user experiencesYour code will shape how millions interact with financial productsYou’ll architect full-stack systems combining backend, AI, and frontendYou’ll grow in a lean, fast-paced team with real impact and ownershipWhat You’ll DoBuild and deploy ML-powered full-stack applicationsCollaborate with ML engineers to integrate models into scalable backendsDevelop APIs, backend services, and real-time data pipelinesDesign performant, intuitive UIs that communicate AI insightsOwn architecture, testing, deployment, and monitoring across the stackWork with product and design teams to ship polished featuresContinuously improve usability, performance, and system reliabilityYou’ll Thrive Here If You...Care about impact, not just codeSolve problems across data, backend, and UI layersShip fast and iterate faster - done is better than perfectThrive in ambiguity, changing priorities, and fast paceThink like a founder - you’re self-driven and proactiveLearn fast - new tools, challenges, and mistakes fuel growthHelp your teammates grow and raise the bar togetherBring energy, structure, and execution to every projectRequirementsBachelor's in Computer Science, Software Engineering, or related fieldStrong proficiency in Python is a must2 - 4 years of experience in full stack developmentStrong skills in JavaScript (Node.js, React, etc.)Experience integrating ML models into production systemsFamiliarity with REST APIs, cloud deployment, scalable backend architecturesComfortable with SQL/NoSQL and distributed systemsSolid grasp of design patterns, testing, debugging workflowsMust be based in Taiwan and open to hybrid collaboration with regional teamsNice to HaveExperience with FastAPI, Flask, or TensorFlow ServingFamiliar with Next.js, Vue, or TypeScriptKnowledge of MLflow, Airflow, Docker, GCP/AWSBackground in startups or agile product teamsInterest in explainable AI or frontend visualization of complex modelsWhat You’ll GetCompetitive salary and performance-based bonusesRemote-first hybrid setup with flexibility across TaiwanHigh-impact, high-ownership role in an AI product teamFlat structure where your input is valuedFast-track career growth and regional visibilityCollaboration across Southeast Asia with product reach at scaleBJAK is Southeast Asia’s largest digital insurance platform, headquartered in Malaysia with operations in Thailand, Taiwan, and Japan. We help millions of users access affordable, transparent financial protection through AI systems — powering automation, recommendation, and smart APIs to simplify complex financial journeys.Excited to turn AI into usable products through full-stack engineering? Come build with us.

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📍 工作方式：混合辦公（以臺灣為主要工作地點，辦公室與遠端彈性安排）建構引領東南亞金融普惠未來的 AI 系統在 BJAK，我們致力於運用人工智慧解決真正有意義的問題 —— 從詐欺偵測、風險建模，到高度個人化的金融體驗，讓保險與金融服務更易取得、理解與負擔。我們正在尋找一位創始AI 技術負責人（Founding Lead AI Engineer），常駐臺灣，成為我們打造下一代智慧系統的核心成員。本職位結合深厚的技術實力與團隊領導力，將直接向 AI 負責人匯報。你將親自撰寫生產級程式碼、制定技術策略、指導團隊成員，並協助建立一支高效、靈活、世界級的 AI 團隊。為什麼這個職位重要設計並部署面向數百萬用戶的核心 AI 系統成為 AI 負責人的最佳助手，推動技術執行與工程標準落地指導與培育團隊工程師，提升整體技術實力扮演招募與擴建高績效 AI 團隊的關鍵角色工作內容設計、構建並交付生產級 ML 模型，聚焦高價值應用場景主導模型架構設計、資料管道規劃與部署策略與產品、工程與資料團隊協作，推動 AI 專案落地主導機器學習全流程：資料準備、訓練、部署與監控稽核程式碼、指導專案並協助解決技術挑戰推廣實驗文化與最佳實務，推動團隊持續學習與成長參與招募流程與技術面試，協助人才甄選與團隊建構掌握 AI/ML 前沿技術並推動落地應用於產品中你適合這個職位如果你...以身作則 - 你親自寫程式，也提升整個團隊有主人翁心態 - 不等指令，主動解決問題快速且深入 - 做出速度與品質兼具的決策在混亂中創造結構與明確性聚焦於真實商業價值，而非僅是學術指標樂於培養人才並看見他人成長擅長應對變動與不確定性擁有 Builder 心態，喜歡快速原型與反覆迭代不斷自我提升，技術、產品、領導力持續精進任職資格資訊工程、軟體工程、電腦科學等相關領域學士或碩士學歷必須具備熟練的 Python 技能4–6 年 AI／ML 工程經驗，具備實際生產環境模型部署實績熟悉 TensorFlow、PyTorch、Scikit-learn 等主流程式庫深刻理解 ML 生命周期，包括資料處理、訓練、驗證與監控熟悉推薦系統、詐欺偵測、風控建模、NLP 等應用場景具備技術領導與工程師 mentoring 經驗優秀的跨部門溝通與團隊協作能力常駐臺灣，並可與東南亞團隊進行遠端協作加分條件熟悉 MLflow、Airflow、Docker、GCP / AWS 等 MLOps 工具了解 Responsible AI 實踐（公平性、可解釋性、模型治理）有新創或快速成長團隊工作經驗有建置內部 AI 工具平台或可重用模型模組的經驗你將獲得具競爭力的薪資與績效獎金彈性混合辦公制度（臺灣地區可遠距與進辦公室彈性搭配）高度自主與區域影響力，參與關鍵產品決策直接向 AI 負責人匯報，參與高層技術規劃領導一支快速成長的 AI 工程團隊快速的職涯晉升與技術成長機會扁平、協作導向的文化，創意快速落地、貢獻被看見關於 BJAKBJAK 是東南亞最大的數位保險平台，服務數百萬用戶，致力於提供透明、可負擔的金融保障。我們總部設於馬來西亞，並於泰國、臺灣、日本設有據點。我們透過 AI、自動化與智慧 API 打造創新的保險科技系統，簡化複雜的金融流程，讓服務更便捷、公平且普及。如果你準備好打造真正有影響力的 AI 系統，並在一個高速、務實又富有使命感的團隊中發光發熱，歡迎你加入我們！-------------------------------------------------------------------------------📍 Working Arrangement: Hybrid (based in Taiwan with a mix of office and remote work flexibility)Shape AI That Powers the Future of Financial Access Across Southeast AsiaAt BJAK, we’re using AI to solve meaningful problems — from fraud detection and risk modeling to hyper-personalized financial experiences that make insurance and financial services more accessible. We’re looking for a Lead AI Engineer based in Taiwan to play a pivotal role in building, scaling, and leading the next generation of intelligent systems.This role blends deep technical expertise with hands-on leadership, reporting directly to our Head of AI. You’ll write production-grade code, shape strategy, mentor team members, and help grow a lean, world-class AI engineering team.Why This Role MattersYou’ll design and deploy core AI systems that serve millions across the regionYou’ll be the right hand to the Head of AI — driving execution and setting engineering standardsYou’ll mentor and lead junior engineers to elevate overall team capabilityYou’ll play a key role in scaling and hiring a high-performance AI teamWhat You’ll DoDesign, build, and ship production-grade ML models for critical business use casesLead architecture for models, data pipelines, and deployment strategyCollaborate across product, engineering, and data teams to drive AI implementationOwn the end-to-end ML lifecycle: data prep, training, deployment, and monitoringReview code, guide projects, and support the team through technical challengesPromote best practices, experimentation, and continuous learning cultureConduct interviews and contribute to hiring decisionsStay up to date with AI/ML innovations and apply them to real-world productsYou’ll Thrive Here If You...Lead by example — you write code, mentor others, and raise the barThink like an owner — you solve problems without waiting for permissionMove fast and with depth — you deliver quickly and make smart trade-offsBring clarity to ambiguity — you create structure and direction amid chaosFocus on outcomes — you care about product impact, not just research metricsLove developing people — you coach, mentor, and celebrate others’ growthAdapt fast — changing priorities and uncertainty energize youHave a builder’s mindset — prototype quickly, iterate constantlyLearn relentlessly — you're always sharpening your tech and leadership skillsRequirementsBachelor’s or Master’s degree in Computer Science, Engineering, or a related fieldStrong proficiency in Python is a must4–6 years of hands-on experience in AI/ML engineering with real-world deployment experienceFamiliar with ML frameworks such as TensorFlow, PyTorch, or Scikit-learnStrong grasp of end-to-end ML lifecycle: data pipelines, training, validation, monitoringExperience in applied AI domains (e.g., recommendations, fraud, risk modeling, NLP)Proven track record of technical leadership and mentoringExcellent communication and cross-functional collaboration skillsMust be based in Taiwan and open to hybrid collaboration with international teamsNice to HaveExperience with MLOps tooling (e.g., MLflow, Airflow, Docker, GCP/AWS)Familiarity with responsible AI practices (e.g., fairness, interpretability, governance)Background in fast-paced startups or scale-up environmentsExperience building internal AI platforms or reusable ML modulesWhat You’ll GetCompetitive salary and performance-based bonusesHybrid work model with flexibility to work remotely or on-site in TaiwanHigh ownership role with regional product impactDirect line to the Head of AI and visibility with senior leadershipOpportunity to lead a rapidly growing AI engineering teamFast career growth and technical learning curveFlat and fast-moving culture where great work gets noticedAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, serving millions of users with affordable and transparent financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we build AI-driven systems to make complex financial services more accessible, fair, and fast.We believe in practical innovation — from personalized pricing engines to intelligent automation and fraud detection, our AI helps reshape the financial experience for everyone.If you're ready to build and lead AI systems that matter — and grow with a team that moves fast and thinks boldly — we’d love to hear from you.

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📍 工作安排：台灣（混合辦公 - 可居家工作並配合辦公室協作）建構讓金融服務更簡單、更智慧、更普惠的 AI 系統在 BJAK，我們致力於運用人工智慧，讓數百萬東南亞用戶能更輕鬆地接觸、理解並負擔保險與金融服務。作為一名 AI軟體工程師，你將參與打造驅動這一使命的核心智慧系統——涵蓋個人化推薦、詐欺偵測、自動化處理與智慧搜尋等功能。本職位採混合辦公模式，主要工作地點在臺灣，並與馬來西亞總部及東南亞地區的跨部門團隊密切合作。你將加入一個高效率、扁平化的工程團隊，在這裡，你的執行力與創意將每天影響真實世界的產品成果。為什麼這個職位至關重要你將直接提升用戶體驗、系統效率與平台智慧程度你將參與建構可支援數百萬用戶的 AI 生產系統跨部門合作，從零打造可擴展的機器學習工具與流程在快速、精實、具影響力的工程文化中快速成長你的工作內容與產品、資料與工程團隊協作，定義機器學習目標與技術策略設計、開發並部署用於個人化推薦、自動化處理與洞察生成的 ML 模型負責完整 ML 開發流程：資料前處理、特徵工程、模型訓練、評估與部署建構可擴展的機器學習基礎架構與部署管線將模型成果整合至用戶端產品與後端系統中持續追蹤 AI／ML 技術趨勢，並導入於現有技術堆疊參與生產環境中模型的除錯、測試與效能優化如果你具備以下特質，會在這裡如魚得水全權負責，致力於讓模型真正產生商業與用戶價值主動學習，即使缺乏明確說明也能快速上手與推進擁有快速迭代的執行力，能適應節奏快速、資源精簡的環境從混亂中找出問題本質，並追求從頭到尾的解決方案注重團隊合作，謙虛、樂於分享、能提升整體團隊水平熱愛學習、擅長知識傳遞，樂於在成長過程中幫助他人一同提升任職條件擁有電腦科學、資料科學、工程或相關技術領域之學士／碩士學位必須具備熟練的 Python 技能2-4 年機器學習或後端軟體開發經驗熟悉常用框架如 TensorFlow、PyTorch 或 Scikit-learn對 ML 開發流程有紮實理解：資料清理、模型開發、參數調校、效能評估熟悉模型部署、API 開發，或在實際業務場景中的整合應用熟悉 Google Colab、Jupyter Notebook 或雲端機器學習平台具備優秀的分析思維、問題解決能力與跨團隊溝通能力需常駐臺灣，並能配合遠端、跨時區協作模式加分條件有自然語言處理（NLP）、電腦視覺或推薦系統相關經驗熟悉 AWS、GCP、Azure 等雲端平台熟悉 Docker、Git、CI/CD 自動化流程有新創團隊或敏捷開發經驗者佳你將獲得具競爭力的薪資與績效獎金靈活的工作安排直接參與影響數百萬用戶的產品開發扁平化管理結構，意見被聽見、貢獻被看見快速的個人成長與技術學習機會跨國協作機會，深入參與東南亞多國市場-------------------------------------------------------------📍 Working arrangement: Taiwan (Hybrid)Build AI Systems That Make Finance Simpler, Smarter, and More InclusiveAt BJAK, we’re using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As a Senior AI/ML Software Engineer, you’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search.This role based in Taiwan, working closely with our HQ in Malaysia and regional teams across Southeast Asia. You’ll join a fast-paced, flat team structure where your execution and ideas shape real-world outcomes every day.Why This Role MattersYour work will directly impact user experience, efficiency, and platform intelligenceYou’ll contribute to production-grade AI systems that serve millionsYou’ll collaborate across functions and build scalable ML tools from the ground upYou’ll grow quickly in a lean, high-impact engineering environmentWhat You’ll DoWork with product, data, and engineering teams to define ML goals and technical strategiesDesign, build, and deploy machine learning models that power personalization, automation, and insight generationManage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deploymentBuild scalable ML infrastructure and deployment pipelinesIntegrate ML outputs into user-facing products and backend systemsStay current with AI/ML trends and apply relevant innovations into our stackContribute to debugging, testing, and optimization of production ML systemsYou’ll Thrive Here If You...Take full ownership - you don’t just build models, you make sure they drive real-world resultsAre a self-starter who figures things out fast, even when there’s no manual or roadmapMove with urgency - you adapt quickly, ship fast, and improve even fasterOwn problems end-to-end - from messy data to deployment, and everything in betweenBring a team-first attitude - you’re humble, helpful, and raise the bar for those around youPush through chaos - startup pace, shifting priorities, and ambiguity don’t throw you offLearn obsessively and share openly - you level up fast and help others do the sameRequirementsBachelor’s degree in Computer Science, Data Science, Engineering, or a related technical fieldStrong proficiency in Python is a must2 - 4 years of experience in machine learning or backend software developmentExperience using frameworks like TensorFlow, PyTorch, or Scikit-learnSolid understanding of ML workflows: data cleaning, model development, tuning, evaluationFamiliar with model deployment, API development, or real-world ML integrationExperience with tools like Google Colab, Jupyter, and cloud ML platformsStrong analytical, problem-solving, and communication skillsNice to HaveExperience with NLP, computer vision, or recommendation systemsFamiliarity with cloud services (e.g., AWS, GCP, Azure)Exposure to Docker, Git, or CI/CD toolsBackground working in a high-growth startup or agile product environmentWhat You’ll GetCompetitive salary and performance-based bonusesFlexible work arrangementDirect impact - your work reaches millions of users across AsiaFlat structure - your voice is heard, your contributions are seenOpportunities for rapid personal and technical growthRegional exposure and collaboration across Southeast AsiaAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, helping millions of users access affordable, transparent financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial services using AI, automation, and smart APIs. We're building the next generation of intelligent systems to make finance better, faster, and fairer for everyone.If you’re excited about building ML systems that solve real-world problems at scale - and thrive in a high-impact, mission-driven team - we’d love to hear from you.

false

📍 工作安排：台灣（混合辦公 - 可居家工作並配合辦公室協作）建構讓金融服務更簡單、更智慧、更普惠的 AI 系統在 BJAK，我們致力於運用人工智慧，讓數百萬東南亞用戶能更輕鬆地接觸、理解並負擔保險與金融服務。作為一名AI軟體工程師，你將參與打造驅動這一使命的核心智慧系統——涵蓋個人化推薦、詐欺偵測、自動化處理與智慧搜尋等功能。本職位採混合辦公模式，主要工作地點在臺灣，並與馬來西亞總部及東南亞地區的跨部門團隊密切合作。你將加入一個高效率、扁平化的工程團隊，在這裡，你的執行力與創意將每天影響真實世界的產品成果。為什麼這個職位至關重要你將直接提升用戶體驗、系統效率與平台智慧程度你將參與建構可支援數百萬用戶的 AI 生產系統跨部門合作，從零打造可擴展的機器學習工具與流程在快速、精實、具影響力的工程文化中快速成長你的工作內容與產品、資料與工程團隊協作，定義機器學習目標與技術策略設計、開發並部署用於個人化推薦、自動化處理與洞察生成的 ML 模型負責完整 ML 開發流程：資料前處理、特徵工程、模型訓練、評估與部署建構可擴展的機器學習基礎架構與部署管線將模型成果整合至用戶端產品與後端系統中持續追蹤 AI／ML 技術趨勢，並導入於現有技術堆疊參與生產環境中模型的除錯、測試與效能優化如果你具備以下特質，會在這裡如魚得水全權負責，致力於讓模型真正產生商業與用戶價值主動學習，即使缺乏明確說明也能快速上手與推進擁有快速迭代的執行力，能適應節奏快速、資源精簡的環境從混亂中找出問題本質，並追求從頭到尾的解決方案注重團隊合作，謙虛、樂於分享、能提升整體團隊水平熱愛學習、擅長知識傳遞，樂於在成長過程中幫助他人一同提升任職條件擁有電腦科學、資料科學、工程或相關技術領域之學士／碩士學位必須具備熟練的 Python 技能2-4 年機器學習或後端軟體開發經驗熟悉常用框架如 TensorFlow、PyTorch 或 Scikit-learn對 ML 開發流程有紮實理解：資料清理、模型開發、參數調校、效能評估熟悉模型部署、API 開發，或在實際業務場景中的整合應用熟悉 Google Colab、Jupyter Notebook 或雲端機器學習平台具備優秀的分析思維、問題解決能力與跨團隊溝通能力需常駐臺灣，並能配合遠端、跨時區協作模式加分條件有自然語言處理（NLP）、電腦視覺或推薦系統相關經驗熟悉 AWS、GCP、Azure 等雲端平台熟悉 Docker、Git、CI/CD 自動化流程有新創團隊或敏捷開發經驗者佳你將獲得具競爭力的薪資與績效獎金靈活的工作安排直接參與影響數百萬用戶的產品開發扁平化管理結構，意見被聽見、貢獻被看見快速的個人成長與技術學習機會跨國協作機會，深入參與東南亞多國市場-------------------------------------------------------------📍 Working arrangement: Taiwan (Hybrid)Build AI Systems That Make Finance Simpler, Smarter, and More InclusiveAt BJAK, we’re using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As a Senior AI/ML Software Engineer, you’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search.This role based in Taiwan, working closely with our HQ in Malaysia and regional teams across Southeast Asia. You’ll join a fast-paced, flat team structure where your execution and ideas shape real-world outcomes every day.Why This Role MattersYour work will directly impact user experience, efficiency, and platform intelligenceYou’ll contribute to production-grade AI systems that serve millionsYou’ll collaborate across functions and build scalable ML tools from the ground upYou’ll grow quickly in a lean, high-impact engineering environmentWhat You’ll DoWork with product, data, and engineering teams to define ML goals and technical strategiesDesign, build, and deploy machine learning models that power personalization, automation, and insight generationManage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deploymentBuild scalable ML infrastructure and deployment pipelinesIntegrate ML outputs into user-facing products and backend systemsStay current with AI/ML trends and apply relevant innovations into our stackContribute to debugging, testing, and optimization of production ML systemsYou’ll Thrive Here If You...Take full ownership - you don’t just build models, you make sure they drive real-world resultsAre a self-starter who figures things out fast, even when there’s no manual or roadmapMove with urgency - you adapt quickly, ship fast, and improve even fasterOwn problems end-to-end - from messy data to deployment, and everything in betweenBring a team-first attitude - you’re humble, helpful, and raise the bar for those around youPush through chaos - startup pace, shifting priorities, and ambiguity don’t throw you offLearn obsessively and share openly - you level up fast and help others do the sameRequirementsBachelor’s degree in Computer Science, Data Science, Engineering, or a related technical fieldStrong proficiency in Python is a must2 - 4 years of experience in machine learning or backend software developmentExperience using frameworks like TensorFlow, PyTorch, or Scikit-learnSolid understanding of ML workflows: data cleaning, model development, tuning, evaluationFamiliar with model deployment, API development, or real-world ML integrationExperience with tools like Google Colab, Jupyter, and cloud ML platformsStrong analytical, problem-solving, and communication skillsNice to HaveExperience with NLP, computer vision, or recommendation systemsFamiliarity with cloud services (e.g., AWS, GCP, Azure)Exposure to Docker, Git, or CI/CD toolsBackground working in a high-growth startup or agile product environmentWhat You’ll GetCompetitive salary and performance-based bonusesFlexible work arrangementDirect impact - your work reaches millions of users across AsiaFlat structure - your voice is heard, your contributions are seenOpportunities for rapid personal and technical growthRegional exposure and collaboration across Southeast AsiaAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, helping millions of users access affordable, transparent financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial services using AI, automation, and smart APIs. We're building the next generation of intelligent systems to make finance better, faster, and fairer for everyone.If you’re excited about building ML systems that solve real-world problems at scale - and thrive in a high-impact, mission-driven team - we’d love to hear from you.

true

📍 근무 형태: 한국 (재택근무 – 한국 내 어디서든 근무 가능)동남아시아 금융 접근의 미래를 이끄는 AI를 설계하세요BJAK은 AI를 활용해 사기 탐지, 리스크 모델링, 초개인화된 금융 경험 등 실제적인 문제를 해결하며, 보험과 금융 서비스를 보다 쉽게 접근 가능하도록 만들고 있습니다. 저희는 한국 기반의 Lead AI Engineer를 모시고, 차세대 지능형 시스템을 설계하고 확장하며 리딩할 핵심 역할을 맡기고자 합니다.이 포지션은 깊은 기술 전문성과 실무 리더십을 겸비한 역할로, AI 총괄(Head of AI)에게 직접 리포트하며 전략 수립, 코드 작성, 팀 멘토링, 그리고 AI 엔지니어링 팀의 성장을 함께 이끌게 됩니다.왜 이 포지션이 중요한가요?수백만 명에게 서비스되는 핵심 AI 시스템을 설계하고 배포합니다AI 총괄의 핵심 파트너로서 기술 실행 및 엔지니어링 기준을 리드합니다주니어 엔지니어들을 리딩하고 멘토링하며 팀 전체 성과를 끌어올립니다고성과 AI 팀을 채용하고 확장하는 데 중요한 역할을 맡습니다주요 업무고임팩트 사례를 위한 프로덕션 수준의 머신러닝 모델을 설계, 구축 및 배포모델 아키텍처, 데이터 파이프라인, 배포 전략 리딩제품, 엔지니어링, 데이터 팀과 협업하여 AI 이니셔티브를 추진데이터 준비부터 배포 및 모니터링까지, ML 생애주기 전체를 책임코드 리뷰, 프로젝트 가이드, 기술 난제 해결을 위한 멘토링실험, 지속적인 학습, AI 모범 사례를 장려하고 실천후보자 인터뷰 및 평가에 참여하여 AI 채용과 팀 빌딩 기여최신 ML 기술 동향을 선도적으로 반영하고 실제 시스템에 도입이런 분이라면 잘 맞습니다코드로 리드하고, 주변 팀원들을 끌어올릴 수 있는 분오너십 마인드로 문제 해결에 주도적으로 나서는 분빠른 실행과 깊은 사고력을 바탕으로 균형 잡힌 결정을 내리는 분혼란 속에서도 구조와 방향성을 제시하며 명확성을 추구하는 분출시 결과에 집중하며 실제 문제 해결에 몰입하는 분기술뿐 아니라 팀을 성장시키는 데 즐거움을 느끼는 분우선순위 변화와 불확실성 속에서도 자신감을 가지고 대응하는 분프로토타입부터 시작해 빠르게 개선하고 반복을 즐기는 빌더 마인드 보유지속적으로 기술, 제품, 리더십 역량을 향상시키고자 하는 분자격 요건컴퓨터공학, 소프트웨어공학, 관련 전공의 학사 또는 석사 학위Python에 대한 높은 숙련도가 반드시 필요합니다AI/ML 분야에서 4~6년 이상의 실무 및 프로덕션 적용 경험Python 활용 능력 우수, TensorFlow, PyTorch, Scikit-learn 등 프레임워크에 숙련데이터 파이프라인, 학습, 검증, 모니터링까지 전체 ML 프로세스에 대한 이해추천, 사기 탐지, 리스크 분석, 자연어 처리 등 실제 AI 문제 경험기술적 리더십 및 멘토링 경력 보유커뮤니케이션 및 협업 능력 탁월한국 거주 중이며, 지역 팀과 원격으로 협업 가능해야 함우대 사항MLflow, Airflow, Docker, GCP/AWS 등 MLOps 도구 사용 경험책임감 있는 AI 개발 경험 (공정성, 해석 가능성, 모델 거버넌스 등)스타트업 또는 스케일업 조직에서의 경험내부 도구, 재사용 가능한 ML 컴포넌트, AI 플랫폼 개발 경험제공 혜택경쟁력 있는 연봉 및 성과 기반 보너스한국 어디서나 자유롭게 일할 수 있는 완전 원격 및 유연한 근무동남아 시장 전체에 영향을 미치는 높은 오너십과 가시성AI 총괄에게 직접 리포팅하며, 경영진과 직접 협업성장하는 AI 팀을 주도하고 리딩할 수 있는 기회빠르게 성장할 수 있는 환경에서 커리어와 기술 역량 동시 성장수평적이고 빠른 실행을 중시하는 팀 문화회사 소개BJAK은 동남아 최대의 디지털 보험 플랫폼으로, 수백만 명의 사용자가 투명하고 저렴한 금융 보호를 받을 수 있도록 지원하고 있습니다. 본사는 말레이시아에 위치하며, 태국, 대만, 일본에도 운영 거점을 두고 있습니다. AI, 자동화, 스마트 API를 기반으로 복잡한 금융 서비스를 빠르고 공정하게 만들고 있으며, 개인화된 가격 엔진, 지능형 자동화, 사기 탐지 기술을 통해 금융 접근성을 새롭게 정의하고 있습니다.실제 문제를 해결하고, 빠르게 실행하며, 영향력을 만들고 싶은 분을 기다립니다. 큰 비전을 가진 팀과 함께 성장하고 싶다면, BJAK에서 여러분의 도전을 기다립니다.--------------------------------------------------------------------------------📍 Working Arrangement: Korea (Remote - work from anywhere in Korea)Shape AI That Powers the Future of Financial Access Across Southeast AsiaAt BJAK, we’re using AI to solve meaningful problems — from fraud detection and risk modeling to hyper-personalized financial experiences that make insurance and financial services more accessible. We’re looking for a Lead AI Engineer based in Korea to play a pivotal role in building, scaling, and leading the next generation of intelligent systems.This role blends deep technical expertise with hands-on leadership, reporting directly to our Head of AI. You’ll write production code, shape strategy, mentor team members, and help grow a lean, world-class AI engineering team.Why This Role MattersYou’ll design and deploy core AI systems that serve millions across the regionYou’ll be the right hand to the Head of AI — driving technical execution and engineering standardsYou’ll lead and mentor junior engineers to elevate team performance and capabilitiesYou’ll play a critical role in hiring and scaling a high-performance AI teamWhat You’ll DoDesign, build, and ship production-grade ML models for high-impact use casesLead model architecture, data pipeline design, and deployment strategiesCollaborate across product, engineering, and data teams to drive AI initiativesOwn the end-to-end ML lifecycle — from data prep to deployment and monitoringReview code, guide projects, and mentor engineers through technical challengesChampion experimentation, continuous learning, and AI best practicesInterview and evaluate candidates, contributing to technical hiring and team buildingStay ahead of ML advancements — and bring cutting-edge solutions into productionYou’ll Thrive Here If You...Lead from the front — you’re hands-on in code, but always lifting othersThink like an owner — you don’t wait for permission to solve a problemOperate at speed and depth — you make fast, sound decisions that balance trade-offsPush for clarity — even in chaos, you bring structure, direction, and accountabilityCare about what ships — you focus on solving real-world problems, not just academic onesGrow the team, not just the tech — you enjoy mentoring, coaching, and seeing others winAdapt fast — priorities shift, ambiguity is the norm, and you navigate both with confidenceHave a builder’s mindset — fast prototypes, strong opinions, and a hunger to iterateKeep learning — you’re constantly leveling up your technical, product, and leadership gameRequirementsBachelor's or Master’s degree in Computer Science, Engineering, or a related fieldStrong proficiency in Python is a must4–6 years of experience in AI/ML engineering with real-world deployment experienceDeep familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)Solid understanding of the end-to-end ML lifecycle: data pipelines, training, validation, monitoringExperience working on applied AI problems (e.g., recommendation, fraud, risk, NLP, etc.)Track record of technical leadership and mentoring engineersExcellent communication and collaboration skillsMust be based in Korea and open to working remotely with regional teamsNice to HaveExperience with MLOps tooling (e.g., MLflow, Airflow, Docker, GCP/AWS)Familiarity with responsible AI practices (fairness, interpretability, model governance)Startup or scale-up environment experienceExposure to building internal tools, reusable ML components, or AI platformsWhat You’ll GetCompetitive salary and performance-based bonusesFully remote and flexible work arrangement from anywhere in KoreaHigh ownership role with impact visible at a regional scaleDirect reporting line to Head of AI with exposure to senior leadershipOpportunity to lead and shape a growing AI engineering teamFast-track career growth and learning opportunities in a high-speed environmentCollaborative, flat culture where ideas move fast and great work gets noticedAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, serving millions of users with transparent, affordable financial protection. Headquartered in Malaysia, and active in Thailand, Taiwan, and Japan, we’re building AI-driven systems that make complex financial services accessible, fast, and fair.We believe in technology that moves fast and serves real needs — from personalized pricing engines to smart automation and fraud detection. Join us in reshaping the future of financial access across Asia.If you’re ready to build, lead, and scale AI that matters — and want to grow with a company that thinks big and moves fast — we’d love to hear from you.