Find AI Work That Works for You

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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.Location: Toronto / Sunnyvale  We're looking for a deeply technical, hands-on engineering leader for our Inference Service Platform. You will lead a high performing team to tackle a critical challenge: scaling LLM inference on Cerebras’ advanced compute clusters and delivering a world-class, on-prem solution for enterprise customers. In this role, you’ll set the technical vision while staying close to the code, architecting highly reliable, low latency distributed systems. If you have proven expertise in distributed systems and scaling modern model-serving frameworks, we want to hear from you.  Responsibilities  Provide hands-on technical leadership, owning the technical vision and roadmap for the Cerebras Inference Platform, from internal scaling to on-prem customer solutions.  Lead the end-to-end development of distributed inference systems, including request routing, autoscaling, and resource orchestration on Cerebras' unique hardware.  Drive a culture of operational excellence, guaranteeing platform reliability (>99.9% uptime), performance, and efficiency.  Lead, mentor, and grow a high-caliber team of engineers, fostering a culture of technical excellence and rapid execution.  Productize the platform into an enterprise-ready, on-prem solution, collaborating closely with product, ops, and customer teams to ensure successful deployments.  Skills & Qualifications  Technical Leadership: 6+ years in high-scale software engineering, with 3+ years leading distributed systems or ML infra teams; strong coding and review skills.  Inference Expertise: Proven track record scaling LLM inference: optimizing latency (<100ms P99), throughput, batching, memory/IO efficiency and resources utilization.  ML Systems Knowledge: Expertise in distributed inference/training for modern LLMs; understanding of AI/ML ecosystems, including public clouds (AWS/GCP/Azure).  Frameworks & Tools: Hands-on with model-serving frameworks (e.g. vLLM, TensorRT-LLM, Triton or similar) and ML stacks (PyTorch, Hugging Face, SageMaker).   Infrastructure: Deep experience with orchestration (Kubernetes/EKS, Slurm), large clusters, and low-latency networking.  Operations & Monitoring: Strong background in monitoring and reliability engineering (Prometheus/Grafana, incident response, post-mortems).  Leadership & Collaboration: Demonstrated ability to recruit and retain high-performing teams, mentor engineers, and partner cross-functionally to deliver customer-facing products.  Preferred Skills  Experience with on-prem/private cloud deployments.  Background in edge or streaming inference, multi-region systems, or security/privacy in AI.  Customer-facing experience with enterprise deployments.  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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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Internship goal Identify and implement an industrial use case for converting an agentic system that uses a Large Language Model (LLM) into one that uses a Small Language Model (SLM), leveraging Dataiku's platform to create a real-world example for our customers. Detailed description Agents are being increasingly experimented with and integrated into critical business processes. As their use becomes more widespread, there is a growing demand for improved efficiency, both in terms of performance and cost. Additionally, data security is a primary concern. Companies are looking to host their own Large Language Models (LLMs) rather than depend on third parties to ensure their sensitive information remains secure. While state-of-the-art LLMs simplify the development of agents with their strong reasoning and interpolation skills, creating reliable agents with smaller LLMs (SLMs) is a more complex challenge. It often requires advanced techniques like fine-tuning or meticulous prompt optimization to achieve consistent results. However, this effort is worthwhile. Recent research has shown how to reliably convert agentic systems that use LLMs into systems that use SLMs, which is the exact application we want to develop at Dataiku. Dataiku offers a comprehensive platform for building, evaluating, and fine-tuning agents. The main goal of this internship is to identify a practical, industrial use case where converting to an SLM-based agent makes sense. You will then implement this case, creating a tangible example that our customers can use for inspiration. During this internship, you will:   Get familiar with Dataiku, its Agent and LLM mesh infrastructure. Research state-of-the-art techniques for converting LLMs agentic systems into SLMs ones. Experiment on some industrial use-cases how algorithms perform and evaluate their efficiency. Collaborate with the Data Science and the broader Solutions team to identify technical challenges and industrial context. Develop a solution or demo that leverages this technique on an example that resonates with the industry. Contribute to increasing Dataiku’s credibility as the platform of choice for their Agentic AI use-cases. Stack Python #LI-Onsite #LI-FR1   What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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About UsConsole is an AI platform that automates IT and internal support. We help companies scale without scaling headcount, and give employees instant resolution to their issues. Our agents understand the full context of the organization, handle requests end-to-end and pull in humans only when necessary.Today, companies like Ramp, Scale, Webflow, and Flock Safety rely on Console to automate over half of their IT & HR requests. We've won every bake-off against our competitors, closed every trial customer and expect to 10x usage by year-end.We're a small, talent-dense team: naturally curious, high-agency and low-ego. Our organization is very flat and ideas win on merit, not hierarchy. We're hiring exceptional people to keep up with demand. We're backed by Thrive Capital and world-class angels.About the roleAs a Platform Engineer at Console, you'll work on the core infrastructure and systems that will enable us to power support across hundreds of medium and large scale enterprises. You'll work closely with the CTO to architect scalable enterprise-grade systems.Some examples of work you might do:Architect, plan, and execute a self-hostable SKU of Console for enterprise customers.Execute zero downtime production migrations while evolving our infrastructure to support a massive increase in customer loadOptimize build times and setup blue-green production deployment workflowsYou'll have broad license to shape the platform design and lead devops initiatives that accelerate the velocity of the whole team.This role is based in San Francisco, CA. We work in-person and offer relocation assistance to new employees.About youYou have hands-on experience designing and building foundational infrastructure zero-to-oneYou're have a deep understanding of AWS/GCP and the tradeoffs between various cloud offerings and architecturesYou've worked on high-scale, production grade systemsYou care about developer experience and productivity; you like building systems that accelerate the whole teamRequirements5+ years of full-time experience in platform or infrastructure-facing engineering rolesExperience with AWS/GCP, IaC tools like Terraform/Pulumi, and relative comfort with our stack (Typescript/Node/React) Passionate about building quality, reliable systems, and never happy with "good enough"Why join Console?Product-market fit: We have built the leading product in our category, in a massive market. We've hit an inflection point and are on track to build a generational company. World-class team: We seek high agency contributors who are comfortable navigating ambiguity, ruthlessly prioritize what matters and are action-biased.Grow with us: We reward impact, not credentials or years of experience. We intend to grow talent from within as we scale up.Competitive pay and benefits: top compensation with full benefits including:Equity with early exercise & QSBS eligibilityComprehensive health, dental, and vision insuranceUnlimited PTO401(k)Meals provided daily in office

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About Retell AIAt Retell AI, we're not just automating calls—we’re transforming how the world communicates. Our AI voice agents are reshaping sales, support, and customer engagement for leading brands. Backed by Alt Capital, Y Combinator, and top-tier investors, we've raised $4.7M in seed funding and hit $23M ARR with just 20 people.We’re one of the fastest-growing Voice AI startups and we're on a mission to become the standard for voice automation at scale. Check us out on the Top Lean AI Native Companies Leaderboard at https://leanaileaderboard.com/.About the RoleAs an Ex-founder (Technical), you’ll join Retell AI as a versatile, high-impact leader, shaping our AI voice platform in its earliest stages. Leveraging your startup experience, you’ll wear multiple hats—spanning product, engineering, and strategy—to drive innovation and execution. You’ll collaborate closely with the founding team to tackle ambiguous challenges, build scalable solutions, and define the future of voice automation. This role offers unparalleled ownership and the chance to shape a category-leading product from the ground up.Key ResponsibilitiesDrive 0→1 initiatives, from ideation to execution, across product, engineering, or growth, adapting to the company’s most pressing needs.Build and iterate on core platform features, such as voice agent APIs, integrations, or developer tools, using languages like Python, JavaScript, or TypeScript.Collaborate with co-founders to define product strategy, prioritize roadmaps, and align on technical and business goals.Tackle ambiguous problems, prototyping solutions and shipping production-ready systems under tight timelines.Mentor early team members, fostering a culture of ownership, speed, and craft.Translate customer and market feedback into actionable product improvements and strategic recommendations.GTM / PLG PathHave founded or co-founded a product-led startup, owning the go-to-market strategy from 0→1.Bring 2+ years in PLG, growth, or GTM roles (e.g., product marketing, growth ops, customer success, sales-led + PLG hybrid).Thrive in fast-paced, ambiguous environments, juggling experiments in acquisition, activation, retention, and expansion.Take ownership like a founder—designing growth loops, running campaigns, and iterating on onboarding experiences to move key metrics.Communicate clearly, aligning teams around GTM insights and making tough strategic calls with confidence.Job DetailsJob Type: Full-time, 70 hr/week (50 hr/week onsite with flexible hours + 20 hr/week work from home)Cash: $215k – $290kEquity: 0.2% – 0.6%Location: Redwood City, CA, USUS Visas: Retell AI is open to sponsoring work authorization for qualified candidates, including H1B/H-1B, TN, L-1, E-3, F-1 (OPT/CPT), and O-1 visas.Other Benefits100% medical, dental, vision insurance coverageUnlimited breakfast, lunch, dinner, and snacksGym and daily commute fee reimbursementInternet and phone bills coveredCompensation PhilosophyBest Offer Upfront: Choose from three cash-equity balance options; no negotiation needed.Top 1% Talent: Above-market pay (top 5 percentile) to attract exceptional builders.High Ownership: Small teams, >$1M revenue/employee, and significant equity.Performance-Based: Offers tied to interview performance, not experience or past salaries.Interview ProcessConversations With Co-Founders: You'll go through several focused conversations with Retell's co-founders. We go deep on product thinking, technical ability, and cultural alignment. We move quickly, keep things respectful and transparent, and treat every candidate like a potential future teammate.Learn MoreRetell AI - API That Turns Your LLM Into A Human-Like Voice AgentRetell AI Basics: Everything You Need to Start Building Voice AgentsJoin Retell AI to shape the future of voice automation, leveraging your founder experience to build a category-defining platform.

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📍 Working Arrangement: Dublin, Ireland (Remote - work from anywhere in DublinShape 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 AI Engineer based in Dublin 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 field4–6 years of experience in AI/ML engineering with real-world deployment experienceStrong proficiency in Python is a mustDeep 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 Dublin 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 Dublin High 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: Dublin (Remote - work from anywhere in Dublin)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 Dublin 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 field4–6 years of experience in AI/ML engineering with real-world deployment experienceStrong Python skills and deep 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 Dublin 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 Dublin High 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: Remote — remote in Dublin, Ireland Build Intelligent Systems from Model to UI — and Everything in Between At BJAK, we’re using AI to reinvent how financial services work across Southeast Asia — making them smarter, simpler, and more inclusive. As a Full Stack AI Engineer, you’ll bridge machine learning and software engineering to bring intelligent features directly into users’ hands. You’ll operate across the stack — from backend systems and ML model integration to frontend delivery — and help shape how millions of users experience intelligent financial services. This is a hybrid role based in Malaysia, working closely with teams across product, data, and engineering.Why This Role MattersYou’ll be the critical link between AI models and user-facing featuresYour work will define how intelligence is delivered to millions of usersYou’ll build end-to-end systems that combine backend, ML, and frontend engineeringYou’ll thrive in a lean, fast-moving team that values bold execution and real-world impactWhat You’ll DoBuild and deploy full-stack applications that leverage machine learning modelsCollaborate with ML engineers and data scientists to integrate models into productionDevelop backend services, APIs, and pipelines to power intelligent featuresBuild intuitive and performant UIs that surface AI insights clearly and meaningfullyOwn the full development lifecycle — architecture, implementation, testing, deployment, and monitoringWork with product, design, and engineering teams to deliver seamless user experiencesContinuously improve the performance, scalability, and reliability of AI-integrated systemsYou’ll Thrive Here If You...Love shipping fast — you’d rather launch V1 this week than perfect V3 six months laterTreat every problem as your own, regardless of scope or titleEnjoy switching hats — builder, debugger, architect, and product thinker when neededBelieve clarity comes from action — prototype, test, and iterate without waiting for perfect plansStay calm and effective in startup chaos — shifting priorities and building from zero doesn’t faze youSee feedback and failure as part of growth — you're here to level upBelieve “done” beats “perfect,” but still care deeply about UX and code qualityShow up with humility, hunger, and hustle — and lift up others as you goRequirementsBachelor’s degree in Computer Science, Software Engineering, or related field2–4 years of experience in full stack development (frontend + backend)Strong coding skills in Python is a MUST and JavaScript (Node.js, React), or similar stacksExperience integrating machine learning models into production applicationsSolid understanding of API development, RESTful services, and cloud deploymentComfortable working with SQL/NoSQL databases and scalable system architectureProficient in debugging, testing, and modern software design best practicesNice to HaveExperience with tools like FastAPI, Flask, TensorFlow Serving for ML model deploymentFamiliarity with frontend frameworks like Next.js, Vue, or TypeScriptExposure to ML lifecycle and ops tools (MLflow, Airflow, Docker, GCP/AWS)Experience in high-growth startup or agile product development teamsUnderstanding of AI explainability and data visualization in user interfacesWhat You’ll GetCompetitive salary and performance-based bonusesHybrid flexibility — work from home and collaborate in-office at HQHigh-impact role with visibility across product, data, and engineeringFlat structure — your work is seen, your ideas are heardFast learning curve and accelerated growth in a mission-driven companyRegional exposure across Southeast Asian marketsAbout BJAKBJAK 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. We use AI, automation, and APIs to simplify complex financial products — making them accessible, faster, and fairer. If you're excited to bring AI to life through full stack engineering and want to build products that reach millions — we’d love to hear from you.

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📍 Working arrangement: Dublin (Remote - work from anywhere in Dublin)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 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 Dublin, 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 field2 - 4 years of experience in machine learning or backend software developmentStrong proficiency in Python is a mustExperience 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 Dublin 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 Dublin Direct 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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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 Full Stack Engineer (AI) you’ll bridge machine learning and software engineering to deliver real AI-powered features into users’ hands.This is a remote role based in Dublin, working closely with our HQ in Malaysia and cross-functional regional teams. You’ll operate across the stack, from backend logic and 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 innovative 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 quicker; 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 that 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 a related field2–4 years of experience in full-stack development (frontend + backend)Strong programming skills in Python is a MUST and 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 Dublin 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 the flexibility to work from anywhere in DublinHigh-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 innovative, 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: Singapore (Remote – work from anywhere in Singapore)Help Build AI That Powers the Future of Financial Access in Southeast AsiaAt BJAK, we’re leveraging AI to tackle meaningful challenges — from fraud detection and risk modeling to delivering hyper-personalized financial services that make insurance more accessible to everyone.We’re looking for a talented Founding AI Engineer based in Singapore to join our growing AI team. In this role, you'll work closely with our Head of AI and a team of skilled engineers to design and build next-generation intelligent systems that serve millions of users across the region.Why This Role MattersYou’ll contribute directly to AI systems that have real-world impact on millions of users.You’ll work alongside a fast-moving team solving complex engineering and product challenges.You’ll gain hands-on experience building and deploying machine learning models in production.You’ll be part of a mission-driven company using AI to democratize access to financial services.What You’ll DoBuild and ship production-grade machine learning models for high-impact use casesContribute to model architecture, data pipeline design, and deployment strategiesCollaborate across engineering, data, and product teams to drive AI initiativesSupport the full ML lifecycle — from data preprocessing and model training to monitoring in productionWrite clean, scalable, and well-documented codeStay up to date with the latest developments in AI/ML, and contribute ideas to improve our systems and workflowsParticipate in code reviews and technical discussions with peersYou’ll Thrive Here If You…Enjoy solving real-world problems using practical AI solutionsLike working hands-on with code and delivering models that go into productionValue collaboration and learning from others across different functionsTake ownership of your work and follow through with high-quality deliveryAdapt quickly in a fast-paced, remote-first environmentWant to be part of a team where your work directly contributes to regional impactRequirementsBachelor’s or Master’s degree in Computer Science, Engineering, or a related field3–6 years of experience in AI/ML engineering with real-world deployment experienceStrong proficiency in Python is a mustFamiliar with ML frameworks such as TensorFlow, PyTorch, or Scikit-learnSolid understanding of machine learning workflows, from data preprocessing to model evaluationExperience working on applied AI use cases (e.g., recommendation systems, fraud detection, risk scoring, NLP, etc.)Strong problem-solving skills and attention to detailComfortable working remotely and collaborating with regional teamsBased in Singapore (Singaporean citizen) with Remote working set up Nice to HaveExperience with MLOps tools like MLflow, Airflow, Docker, or cloud platforms (e.g., GCP, AWS)Familiarity with responsible AI practices (fairness, interpretability, model governance)Experience working in a startup or scale-up environmentInterest in building reusable ML components or internal toolsWhat You’ll GetCompetitive salary and performance-based bonusesFully remote and flexible work setup from anywhere in SingaporeOpportunity to work on AI projects that make a regional impactDirect mentorship from experienced AI leadersFast career growth in a dynamic, high-speed environmentOpen, collaborative team culture that values great ideas and executionAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, serving millions of users with transparent and affordable financial products. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we’re building AI-driven systems that make complex financial services simple, fast, and fair.Join us in shaping the future of financial access in Asia — with technology that moves fast and solves real needs.

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Shape AI That Powers the Future of Financial Access Across Southeast Asia At BJAK, we’re using AI to solve meaningful problems - from fraud detection and risk modeling to personalized experiences that make insurance and financial services more inclusive. We’re looking for a AI Engineer based in Singapore to play a key role in building and scaling these systems. This role combines senior-level engineering depth with team leadership, reporting directly to our Head of AI. You’ll be both an individual contributor and a technical mentor, working hands-on with models while also guiding junior engineers and contributing to the team's growth.Why This Role MattersYou’ll build core AI systems that serve millions of users across the region.You’ll act as the right hand to the Head of AI, shaping direction, execution, and standards.You’ll help build a lean, high-performance AI team by interviewing, mentoring, and coaching.You’ll set the technical bar, leading by example in code quality, delivery, and problem-solvingWhat You’ll DoDesign and deploy production-grade machine learning models for business-critical use cases.Collaborate closely with engineering, data, and product teams to identify and deliver AI solutionLead technical decisions on model architecture, system design, and deployment pipelines.Own end-to-end model lifecycle: from data preparation to training, validation, monitoring, and retrainingAct as a mentor to junior AI engineers - reviewing code, guiding projects, and supporting growthSupport hiring: interview candidates, evaluate technical fit, and contribute to building a world-class teamChampion AI best practices, experimentation, and continuous improvementStay current with AI advancements and evaluate what’s worth bringing into our stackYou’ll Thrive Here If You...Are both a builder and a leader - you roll up your sleeves and raise the bar for othersGet excited about shipping AI systems that work in the real worldEnjoy helping teammates grow and succeed - and do it without egoCan bring clarity and structure to ambiguityThrive in a high-ownership, fast-paced startup cultureCare about impact - not just model accuracy, but how it affects users and businessThink feedback, iteration, and learning are part of the job - not afterthoughtsRequirementsBachelor’s or Master’s degree in Computer Science, Engineering, or related field4–6 years of experience in AI engineering, with production deployment experienceStrong proficiency in Python is a mustDeep familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)Experience working on real-world AI applications (e.g., risk scoring, recommendation, NLP, etc.)Experience mentoring engineers and collaborating across functionsStrong communication skills - able to work cross-functionally and provide technical leadershipMust be based in Singapore and able to work remotely with Malaysia HQNice to HaveExperience with MLOps tooling (MLflow, Airflow, Docker, GCP/AWS)Familiarity with model explainability, fairness, or responsible AI practicesBackground in startup or high-growth tech environmentsExposure to building internal AI tools, frameworks, or reusable componentsWhat You’ll GetCompetitive salary and performance bonusesFully remote, flexible work setup from anywhere in SingaporeHigh ownership, visible impact, and direct reporting to the Head of AIFast career growth in a company scaling across ASEANOpportunity to lead a lean, smart team solving meaningful problemsAccess to cross-border collaboration and regional product exposureAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, helping millions access transparent and affordable financial protection. Headquartered in Malaysia and operating across Thailand, Taiwan, and Japan, we simplify financial products using AI, automation, and smart systems, making them accessible, fast, and fair. Join us to shape the future of AI-driven finance. If you’re ready to build, lead, and scale AI that matters - and grow with a company that moves fast and thinks big - we’d love to hear from you.

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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 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 Hybrid role based in Thailand, 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 field2 - 4 years of experience in machine learning or backend software developmentStrong Python skills is a MUST Experience 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 skillsThai CitizenshipBased in Thailand, with the ability to work in a hybrid setup from OfficeNice 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 bonusesHybrid work flexibility: remote work plus in-person collaboration at our HQDirect 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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Shape AI That Powers the Future of Financial Access Across Southeast Asia At BJAK, we’re solving high-impact, real-world challenges through AI — from fraud detection and risk modeling to intelligent, personalized user experiences that make insurance and financial services more accessible and inclusive. As a Lead AI Engineer based in Thailand, you’ll play a key role in building and scaling intelligent systems that serve millions across the region.This is a hybrid role that combines profound technical contributions with team leadership. You’ll report directly to the Head of AI, work hands-on as a senior individual contributor, and help shape a lean, high-performing AI team through mentorship, coaching, and hiring.Why This Role MattersYou’ll build and deploy core AI systems that impact real users across Southeast AsiaYou’ll act as the right hand to the Head of AI — influencing roadmap, execution, and technical standardsYou’ll help shape and grow a world-class AI team through mentorship and hiringYou’ll raise the bar on technical quality, delivery speed, and scalable architectureWhat You’ll DoDesign, train, and deploy production-grade ML models for business-critical use casesCollaborate closely with product, data, and engineering teams to define and execute AI solutionsLead technical decision-making on model design, deployment pipelines, and infrastructureOwn the full model lifecycle — from data prep and training to evaluation, monitoring, and retrainingGuide junior AI engineers through code reviews, project planning, and mentorshipDrive the hiring process: screen candidates, evaluate technical fit, and onboard top talentChampion best practices in experimentation, model development, and production AIStay ahead of the curve — evaluate new tools, frameworks, and advancements in AIYou’ll Thrive Here If You...Are both a builder and a leader — you roll up your sleeves and raise the bar for othersCare deeply about real-world impact — you think beyond accuracy to user outcomesTake ownership and bring structure to ambiguity with action, not over-analysisEnjoy developing others — helping junior teammates grow is part of your successThrive in a high-speed, high-trust startup culture where priorities shift and execution mattersEmbrace learning, feedback, and iteration as a core part of your engineering processCommunicate clearly — you can align cross-functional teams on complex AI systemsRequirementsBachelor’s or Master’s degree in Computer Science, Engineering, or a related field4–6 years of experience in AI/ML engineering, with models deployed in productionStrong Python skills is a MUST Deep experience with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn)Solid understanding of ML lifecycles — from data pipelines and feature engineering to tuning, deployment, and monitoringReal-world experience building AI systems in domains like recommendation, NLP, or risk modelingExperience mentoring junior engineers and collaborating cross-functionallyStrong written and verbal communication skillsMust be a Thai citizenMust be willing to work hybrid from our Thailand office while collaborating with the Malaysia teamNice to HaveFamiliarity with MLOps tooling (MLflow, Airflow, Docker, GCP/AWS)Experience in responsible AI practices — fairness, explainability, and transparencyStartup background or experience in fast-moving product teamsBuilt internal AI tools, reusable components, or ML platformsWhat You’ll GetCompetitive salary and performance-based bonusesHybrid flexibility — mix of remote work and in-office collaboration at HQHigh ownership and direct impact — report to Head of AI and drive mission-critical projectsClear path for fast career growth as the company expands across ASEANOpportunity to shape and lead a growing AI teamRegional product exposure and cross-border collaborationAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, helping millions of users access transparent, affordable financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial products using AI, automation, and smart systems — making them accessible, faster, and fairer. If you’re ready to build, lead, and scale AI systems that truly matter — and want to grow with a company that moves fast and thinks big — 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 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.

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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 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: Vietnam (Remote – work from anywhere in Vietnam)Help Build AI That Powers the Future of Financial Access in Southeast AsiaAt BJAK, we’re leveraging AI to tackle meaningful challenges — from fraud detection and risk modeling to delivering hyper-personalized financial services that make insurance more accessible to everyone.We’re looking for a talented Founding AI Engineer based in Vietnam to join our growing AI team. In this role, you'll work closely with our Head of AI and a team of skilled engineers to design and build next-generation intelligent systems that serve millions of users across the region.Why This Role MattersYou’ll contribute directly to AI systems that have real-world impact on millions of users.You’ll work alongside a fast-moving team solving complex engineering and product challenges.You’ll gain hands-on experience building and deploying machine learning models in production.You’ll be part of a mission-driven company using AI to democratize access to financial services.What You’ll DoBuild and ship production-grade machine learning models for high-impact use casesContribute to model architecture, data pipeline design, and deployment strategiesCollaborate across engineering, data, and product teams to drive AI initiativesSupport the full ML lifecycle — from data preprocessing and model training to monitoring in productionWrite clean, scalable, and well-documented codeStay up to date with the latest developments in AI/ML, and contribute ideas to improve our systems and workflowsParticipate in code reviews and technical discussions with peersYou’ll Thrive Here If You…Enjoy solving real-world problems using practical AI solutionsLike working hands-on with code and delivering models that go into productionValue collaboration and learning from others across different functionsTake ownership of your work and follow through with high-quality deliveryAdapt quickly in a fast-paced, remote-first environmentWant to be part of a team where your work directly contributes to regional impactRequirementsBachelor’s or Master’s degree in Computer Science, Engineering, or a related field3–6 years of experience in AI/ML engineering with real-world deployment experienceProficient in Python and familiar with ML frameworks such as TensorFlow, PyTorch, or Scikit-learnSolid understanding of machine learning workflows, from data preprocessing to model evaluationExperience working on applied AI use cases (e.g., recommendation systems, fraud detection, risk scoring, NLP, etc.)Strong problem-solving skills and attention to detailComfortable working remotely and collaborating with regional teamsBased in Vietnam with Remote working set up Nice to HaveExperience with MLOps tools like MLflow, Airflow, Docker, or cloud platforms (e.g., GCP, AWS)Familiarity with responsible AI practices (fairness, interpretability, model governance)Experience working in a startup or scale-up environmentInterest in building reusable ML components or internal toolsWhat You’ll GetCompetitive salary and performance-based bonusesFully remote and flexible work setup from anywhere in VietnamOpportunity to work on AI projects that make a regional impactDirect mentorship from experienced AI leadersFast career growth in a dynamic, high-speed environmentOpen, collaborative team culture that values great ideas and executionAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, serving millions of users with transparent and affordable financial products. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we’re building AI-driven systems that make complex financial services simple, fast, and fair.Join us in shaping the future of financial access in Asia — with technology that moves fast and solves real needs.

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📍 Working Arrangement: Vietnam (Remote - work from anywhere in Vietnam)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 Vietnam 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 field4–6 years of experience in AI/ML engineering with real-world deployment experienceStrong Python skills is a MUST Deep 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 Vietnam 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 VietnamHigh 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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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.Key ResponsibilitiesBuild AI growth workflows using AirOps for strategic enterprise customers while establishing scalable best practices and templates that can be leveraged across the teamRecruit, hire, onboard, and coach a team of Forward Deployed Engineers, evolving our services delivery playbook and resourcing modelOwn customer success metrics and expansion revenue targets across your team's accounts; analyze trends and report insights to the Executive teamPartner with Growth, Marketing, Sales, and Product teams to influence roadmap and build strategic workflows aligned to customer needs and market opportunitiesDrive executive relationships with key accounts through QBRs, architectural reviews, and strategic planning on complex implementationsExperience4+ years experience in Solutions Engineering, Technical Account Management, Product, or similar technical leadership role at a high-growth B2B SaaS startup; we 💚 former (or future aspiring) foundersDeep experience with LLMs and AI techniques, including prompt engineering and production deployments, plus expert-level workflow automation (Zapier, etc.)Strong analytical skills with experience using data to inform decisions and excellent project management skills using tools like Linear, Airtable, and AsanaSuperb written and verbal communication skills with proven ability to influence cross-functional stakeholders and executive customersOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.Key ResponsibilitiesBuild AI growth workflows using AirOps for strategic enterprise customers while establishing scalable best practices and templates that can be leveraged across the teamRecruit, hire, onboard, and coach a team of AI Solutions Architects, evolving our services delivery playbook and resourcing modelOwn customer success metrics and expansion revenue targets across your team's accounts; analyze trends and report insights to the Executive teamPartner with Growth, Marketing, Sales, and Product teams to influence roadmap and build strategic workflows aligned to customer needs and market opportunitiesDrive executive relationships with key accounts through QBRs, architectural reviews, and strategic planning on complex implementationsExperience4+ years experience in Solutions Engineering, Technical Account Management, Product, or similar technical leadership role at a high-growth B2B SaaS startup; we 💚 former (or future aspiring) foundersDeep experience with LLMs and AI techniques, including prompt engineering and production deployments, plus expert-level workflow automation (Zapier, etc.)Strong analytical skills with experience using data to inform decisions and excellent project management skills using tools like Linear, Airtable, and AsanaSuperb written and verbal communication skills with proven ability to influence cross-functional stakeholders and executive customersOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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Shape AI That Powers the Future of Financial Access Across Southeast AsiaAt BJAK, we’re using AI to solve real, high-impact problems - from fraud detection and risk modeling to smart, personalized user experiences that make insurance and financial services more inclusive and accessible. As a Lead AI Engineer, you’ll play a critical role in building and scaling intelligent systems that serve millions across the region. This is a Remote role based in Indonesia combining deep technical expertise with team leadership. You’ll report directly to the Head of AI, work hands-on as a senior individual contributor, and help grow a lean, high-performance AI team by mentoring, coaching, and hiring.Why This Role MattersYou’ll build and deploy core AI systems that impact real users across Southeast Asia.You’ll act as the right hand to the Head of AI, influencing roadmap, execution, and technical standards.You’ll help shape and grow a world-class AI team through mentorship and hiring.You’ll raise the bar on technical quality, delivery speed, and scalable architecture.What You’ll DoDesign, train, and deploy production-grade ML models for business-critical use cases.Collaborate closely with product, data, and engineering teams to define and execute AI solutions.Lead technical decision-making on model design, deployment pipelines, and infrastructure.Own the full model lifecycle - from data prep and training to evaluation, monitoring, and retraining.Guide junior AI engineers through code reviews, project planning, and mentorshipDrive the hiring process: screen candidates, evaluate technical fit, and onboard top talent.Champion best practices in experimentation, model development, and production of AIStay ahead of the curve - evaluate new tools, frameworks, and advancements in AI.You’ll Thrive Here If You...Are both a builder and a leader - you roll up your sleeves and raise the bar for others.Care deeply about real-world impact - you think beyond accuracy to user outcomes.Take ownership and bring structure to ambiguity with action, not over-analysisEnjoy developing others - helping junior teammates grow is part of your successThrive in a high-speed, high-trust startup culture where priorities shift and execution mattersEmbrace learning, feedback, and iteration as integral components of your engineering process.Communicate clearly - you can align cross-functional teams on complex AI systems.RequirementsBachelor’s or Master’s degree in Computer Science, Engineering, or a related field4–6 years of experience in AI/ML engineering, with models deployed in productionStrong proficiency in Python is a mustDeep experience with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn)Solid understanding of ML lifecycles - from data pipelines and feature engineering to tuning, deployment, and monitoringReal-world experience building AI systems in domains like recommendation, NLP, or risk modelingExperience mentoring junior engineers and collaborating cross-functionallyStrong written and verbal communication skillsBased in Indonesia with Work Remote Setup Nice to HaveFamiliarity with MLOps tooling (MLflow, Airflow, Docker, GCP/AWS)Experience in responsible AI practices - fairness, explainability, and transparencyStartup background or experience in fast-moving product teamsBuilt internal AI tools, reusable components, or ML platformsWhat You’ll GetCompetitive salary and performance-based bonusesHigh ownership and direct impact - report to the Head of AI and drive mission-critical projects.Clear path for fast career growth as the company expands across ASEANOpportunity to shape and lead a growing AI teamRegional product exposure and cross-border collaborationAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, enabling millions of users to access transparent and affordable financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial products using AI, automation, and smart systems, making them accessible, faster, and fairer. If you’re ready to build, lead, and scale AI systems that truly matter — and want to grow with a company that moves fast and thinks big — we’d love to hear from you.