Find AI Work That Works for You

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Shape AI That Powers the Future of Financial AccessAt BJAK, we use AI to solve meaningful, high-impact 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 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. You’ll write production code, shape strategy, mentor engineers, and help build a lean, world-class AI team.The position supports hybrid work model.Why This Role MattersYou’ll design and deploy core AI systems that support millions of usersYou’ll partner closely with the Head of AI to drive technical execution and engineering excellenceYou’ll mentor junior engineers and elevate team performanceYou’ll play a central role in technical hiring and scaling the AI organisationWhat You’ll DoDesign, build, and ship production-grade ML models for high-impact use casesLead model architecture decisions, data pipeline design, and deployment strategiesCollaborate across product, engineering, and data teams to drive AI initiatives end-to-endOwn the full ML lifecycle: data preparation, training, validation, deployment, monitoringReview code, guide technical projects, and mentor engineers through challengesPromote experimentation, continuous learning, and AI best practicesInterview and evaluate candidates as part of the technical hiring processStay ahead of emerging ML techniques and bring cutting-edge approaches into productionYou’ll Thrive Here If You…Lead from the front - hands-on with code while lifting the team around youThink like an owner - solving problems proactively, not waiting for instructionsOperate with speed and depth - making fast, sound decisions with clear trade-offsBring clarity - adding structure and direction even in fast-moving environmentsCare about impact - focusing on solutions that matter in the real worldEnjoy mentoring - helping others grow is part of your leadership DNAAdapt quickly - ambiguity and changing priorities don’t slow you downHave a builder’s mindset - prototype fast, iterate fast, improve fastCommit to continuous learning - across technical, product, and leadership skillsetsRequirementsBachelor’s or Master’s degree in Computer Science, Engineering, or a related fieldStrong proficiency in PythonOver 4 years of AI/ML engineering experience with real-world deploymentDeep expertise with ML frameworks (TensorFlow, PyTorch, Scikit-learn)Solid understanding of end-to-end ML workflows: data pipelines, training, validation, monitoringExperience working on applied AI problems (e.g., recommendation, fraud, risk, NLP, etc.)Proven track record of technical leadership and mentoringExcellent communication, collaboration, and problem-solving skillsComfortable working remotely with distributed teams across time zonesNice to HaveExperience with MLOps tools (MLflow, Airflow, Docker, GCP/AWS)Familiarity with responsible AI principles (fairness, interpretability, model governance)Startup or scale-up environment experienceExperience developing internal tools, reusable ML components, or AI platformsWhat You’ll GetCompetitive salary and performance bonusesRemote-first work culture, with a hybrid work option for Malaysia-based team membersHigh ownership and visibility - your work directly impacts regional-scale systemsDirect reporting line to the Head of AI with leadership exposureOpportunity to build and grow a high-performance AI engineering teamFast career growth and learning in a high-velocity environmentFlat, collaborative culture where ideas move fast and great work gets noticedAbout BJAKBJAK is a leading digital insurance platform serving millions of users with transparent and affordable financial protection. We simplify financial services using AI, automation, and smart APIs, and we’re building next-generation intelligent systems to make finance accessible, fast, and fair for everyone.From personalized pricing engines to smart automation and fraud detection, we focus on technology that solves real problems at scale.If you’re ready to build, lead, and scale AI systems that matter - in a company that moves fast and thinks big - we’d love to hear from you.

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Shape AI That Powers the Future of Financial AccessAt BJAK, we use AI to solve meaningful, high-impact 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 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. You’ll write production code, shape strategy, mentor engineers, and help build a lean, world-class AI team.The position supports fully work model.Why This Role MattersYou’ll design and deploy core AI systems that support millions of usersYou’ll partner closely with the Head of AI to drive technical execution and engineering excellenceYou’ll mentor junior engineers and elevate team performanceYou’ll play a central role in technical hiring and scaling the AI organisationWhat You’ll DoDesign, build, and ship production-grade ML models for high-impact use casesLead model architecture decisions, data pipeline design, and deployment strategiesCollaborate across product, engineering, and data teams to drive AI initiatives end-to-endOwn the full ML lifecycle: data preparation, training, validation, deployment, monitoringReview code, guide technical projects, and mentor engineers through challengesPromote experimentation, continuous learning, and AI best practicesInterview and evaluate candidates as part of the technical hiring processStay ahead of emerging ML techniques and bring cutting-edge approaches into productionYou’ll Thrive Here If You…Lead from the front - hands-on with code while lifting the team around youThink like an owner - solving problems proactively, not waiting for instructionsOperate with speed and depth - making fast, sound decisions with clear trade-offsBring clarity - adding structure and direction even in fast-moving environmentsCare about impact - focusing on solutions that matter in the real worldEnjoy mentoring - helping others grow is part of your leadership DNAAdapt quickly - ambiguity and changing priorities don’t slow you downHave a builder’s mindset - prototype fast, iterate fast, improve fastCommit to continuous learning - across technical, product, and leadership skillsetsRequirementsBachelor’s or Master’s degree in Computer Science, Engineering, or a related fieldStrong proficiency in PythonOver 4 years of AI/ML engineering experience with real-world deploymentDeep expertise with ML frameworks (TensorFlow, PyTorch, Scikit-learn)Solid understanding of end-to-end ML workflows: data pipelines, training, validation, monitoringExperience working on applied AI problems (e.g., recommendation, fraud, risk, NLP, etc.)Proven track record of technical leadership and mentoringExcellent communication, collaboration, and problem-solving skillsComfortable working remotely with distributed teams across time zonesNice to HaveExperience with MLOps tools (MLflow, Airflow, Docker, GCP/AWS)Familiarity with responsible AI principles (fairness, interpretability, model governance)Startup or scale-up environment experienceExperience developing internal tools, reusable ML components, or AI platformsWhat You’ll GetCompetitive salary and performance bonusesRemote-first work culture, with a hybrid work option for Malaysia-based team membersHigh ownership and visibility - your work directly impacts regional-scale systemsDirect reporting line to the Head of AI with leadership exposureOpportunity to build and grow a high-performance AI engineering teamFast career growth and learning in a high-velocity environmentFlat, collaborative culture where ideas move fast and great work gets noticedAbout BJAKBJAK is a leading digital insurance platform serving millions of users with transparent and affordable financial protection. We simplify financial services using AI, automation, and smart APIs, and we’re building next-generation intelligent systems to make finance accessible, fast, and fair for everyone.From personalized pricing engines to smart automation and fraud detection, we focus on technology that solves real problems at scale.If you’re ready to build, lead, and scale AI systems that matter - in a company that moves fast and thinks big - we’d love to hear from you.

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Build intelligent systems end-to-end - from models to real-world product experiences.A1 is a self-funded AI division backed by BJAK, operating fully in stealth. We’re building a new global consumer AI application around an important but non-mainstream use case — something real, practical, and deeply impactful.As a Founding AI Engineer, you will work at the intersection of machine learning, backend systems, and product engineering, turning models into polished, high-performing user experiences. You’ll work closely with a small, senior, technical team and have ownership across the entire engineering stack.Why This Role MattersYou will be the bridge between powerful ML models and real user-facing product experiences.You’ll shape the foundation of an entirely new AI product from zero — architecture, systems, and the first shipped features.You’ll work across ML integration, backend logic, and frontend experiences — building intelligent systems end-to-end.You’ll operate in a lean, fast, execution-driven environment where clarity, ownership, and craftsmanship matter.Your work directly influences the technical direction, velocity, and engineering DNA of A1.What You’ll DoBuild and ship full-stack features powered by ML models (LLMs, deep learning, multimodal, etc.)Work closely with ML engineers/researchers to integrate models into scalable, reliable backend systemsDevelop APIs, pipelines, and real-time services that support intelligent product behaviorBuild clean, performant UIs that surface model outputs in intuitive waysOwn the full development lifecycle — architecture, implementation, testing, deployment, monitoringDrive technical decisions that balance speed, quality, and scalabilityCollaborate directly with product and design to iterate fast and refine user workflowsContinuously improve system performance, latency, stability, and model integrationYou’ll Thrive Here If You…Own outcomes - you care about the end user, not just the codeEnjoy working across ML, backend, and frontend layersMove fast with clarity - V1 shipped today beats V3 planned for somedayThrive in ambiguity - you figure things out without waiting for perfect specsThink like a builder - small team, high leverage, real impactLearn aggressively - new frameworks, tools, and ideas excite youBring energy, discipline, and a high bar for executionCommunicate clearly and enjoy collaborating with deeply technical teammatesRequirementsBachelor’s degree in Computer Science, Software Engineering, or equivalentStrong proficiency in Python (required)2–5 years of experience in full-stack or backend-heavy engineeringStrong programming skills in JavaScript/TypeScript (Node.js, React, or similar)Experience integrating ML models into production systemsSolid understanding of building APIs, distributed systems, and cloud deploymentsComfortable working with SQL/NoSQL databasesStrong grasp of software architecture, testing, reliability, and debuggingAbility to work independently in a lean, remote-first, high-ownership environmentNice to HaveExperience deploying ML models (FastAPI, Flask, TensorFlow Serving, Triton, etc.)Familiarity with modern frontend stacks (Next.js, Vue, TypeScript)Experience with ML tooling (MLflow, Airflow, Docker, K8s, GCP/AWS)Exposure to LLM fine-tuning, embeddings, or model optimisationBackground in startups or fast-moving product teamsInterest in explainable AI or designing UI patterns for complex model outputsWhat You’ll GetCompetitive compensation with meaningful ownership and long-term upsideRemote-first setup - flexibility across regions and time zonesHigh-impact role with visibility across engineering, ML, and productA chance to shape a new global AI product from day zeroFlat, technical culture - your ideas and code matterThe backing of a profitable group valued at over US$2B, but the speed of a startupA seat at the table in defining the future of A1About A1A1 is a self-funded, independent AI division backed by BJAK. We’re building a new consumer AI application around a high-impact global use case that isn’t yet addressed by mainstream players. Operating fully in stealth, we’re assembling a small, elite team of ML and engineering builders who care about shipping real systems that make a difference.

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Build AI Systems That Make Finance Simpler, Smarter, and More InclusiveAt BJAK, we use AI to make insurance and financial services easier to access, understand, and afford for millions of users. 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 is a fully remote role, working closely with cross-functional teams across regions. You’ll join a fast-paced, flat engineering environment where your execution and ideas shape real-world outcomes every day.Why This Role MattersYour work will directly improve user experience, efficiency, and platform intelligenceYou’ll contribute to production-grade AI systems that support millions of usersYou’ll collaborate across product, data, and engineering to build scalable ML tools end-to-endYou’ll grow quickly in a lean, high-impact environmentWhat You’ll DoWork with product, data, and engineering teams to define ML goals and technical strategiesDesign, build, and deploy machine learning models for personalization, automation, and insightsManage the full ML lifecycle: data preprocessing, feature engineering, training, tuning, evaluation, deploymentBuild scalable ML infrastructure and deployment pipelinesIntegrate ML outputs into user-facing products and backend systemsStay up-to-date with AI/ML research trends and apply relevant innovationsContribute to debugging, testing, and optimization of production ML systemsYou’ll Thrive Here If You...Take full ownership and ensure the models you build drive real-world resultsAre a self-starter who can figure things out even with ambiguityMove with urgency — ship fast, iterate fasterOwn problems end-to-end, from messy data to deploymentBring a humble, collaborative, team-first attitudeStay calm in fast-changing, high-growth environmentsLearn obsessively and share openlyRequirementsBachelor’s degree in Computer Science, Data Science, Engineering, or any related technical fieldStrong proficiency in Python2–4 years of experience in machine learning or backend software developmentHands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)Solid understanding of ML workflows: data cleaning, model development, tuning, evaluationFamiliarity with model deployment, API development, or real-world ML product integrationExperience with Jupyter, Colab, or cloud-based ML platformsStrong analytical, problem-solving, and communication skillsComfortable working remotely and collaborating across time zonesNice to HaveExperience with NLP, computer vision, or recommendation systemsFamiliarity with AWS, GCP, or AzureExposure to Docker, Git, or CI/CD pipelinesBackground in high-growth startups or agile product teamsWhat You’ll GetCompetitive salary and performance-based bonusesFlexible, fully remote work arrangementDirect impact - your work reaches millions of usersFlat, transparent team environmentOpportunities for rapid personal and technical growthCross-regional collaboration and exposureAbout BJAKBJAK is a leading digital insurance platform, helping millions of users access affordable and transparent financial protection. We simplify financial services through AI, automation, and smart APIs, and 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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构建让金融更简单、更智能、更普惠的 AI 系统在 BJAK，我们正在利用人工智能，让数百万东南亚用户更容易获取、理解和承担保险及金融服务的费用。作为一名AI/机器学习软件工程师，你将参与构建支撑这一使命的智能系统 - 从个性化推荐、欺诈检测到流程自动化与智能搜索。本岗位为远程工作，需常驻中国，并与位于马来西亚总部及东南亚区域团队紧密协作。你将加入一个高效、扁平的工程团队，在这里，你的执行力与创意每天都将转化为现实成果。为什么这个岗位至关重要你的工作将直接提升用户体验、系统效率与平台智能水平你将参与构建面向数百万用户的高可用 AI 系统与产品、数据和工程团队跨职能合作，从零开发可扩展的 ML 工具在精干高效的工程环境中快速成长你将负责的工作与产品、数据及工程团队协作，定义机器学习目标与技术战略设计、构建并部署支持个性化推荐、自动化处理与洞察生成的 ML 模型全流程管理机器学习生命周期：数据预处理、特征工程、模型训练、评估与部署构建可扩展的机器学习基础设施与部署流水线将 ML 模型结果整合至前端产品及后台系统紧跟 AI/ML 技术发展，并将前沿成果应用到我们的技术栈中参与调试、测试与优化生产环境下的机器学习系统如果你具备以下特质，你会在这里如鱼得水：敢于全权负责 - 不仅开发模型，还推动其在现实中落地生效主动学习，快速上手 - 即便没有说明书或前人经验，也能自己摸索并推动项目前进行动迅速 - 能够适应快节奏环境，快速迭代并持续优化问题导向 - 从混乱数据到系统上线，愿意负责每一个环节团队协作意识强 - 谦逊、乐于助人，并能激励身边的伙伴能在混乱中保持专注 - 不被创业节奏、优先级变化或不确定性影响热爱学习、乐于分享 - 快速成长的同时，也帮助他人共同进步任职要求计算机科学、数据科学、工程或相关技术领域的本科及以上学历2-4 年机器学习或后端软件开发相关经验必须具备熟练的 Python 技能熟悉 TensorFlow、PyTorch 或 Scikit-learn 等框架扎实的 ML 基础，包括：数据清洗、模型开发、参数调优、性能评估熟悉模型部署、API 开发或现实业务场景中的 ML 集成使用过 Google Colab、Jupyter Notebook、或云端机器学习平台拥有良好的分析能力、问题解决能力与沟通能力需常驻中国，并愿意远程协作（跨时区）加分项有自然语言处理（NLP）、计算机视觉或推荐系统的相关经验熟悉 AWS、GCP、Azure 等云平台服务熟悉 Docker、Git、CI/CD 工具链有在高速发展型初创公司或敏捷产品环境工作的背景你将获得：具有竞争力的薪资与绩效奖金灵活远程工作安排（不限中国城市）你的代码将直接影响数百万亚洲用户扁平管理结构，你的声音会被听见，你的贡献被看见快速成长的个人与技术发展机会与东南亚地区团队跨国合作的视野与经验关于 BJAKBJAK 是东南亚最大的数字保险平台，帮助数百万用户以更低门槛获得透明、可信的金融保障。总部位于马来西亚，并在泰国、台湾、日本设有业务运营。我们通过 AI、自动化与智能 API 简化金融服务流程。我们正致力于打造下一代智能系统，让金融服务变得更好、更快、更公平。如果你热衷于构建能真正解决现实问题、具备大规模落地能力的机器学习系统，并渴望在一个使命驱动、高影响力的团队中成长 - 我们非常期待你的加入！-------------------------------------------------------------------------------------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 is a remote role based in China, 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 China 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 ChinaDirect 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 end-to-end - from models to real-world product experiences.A1 is a self-funded AI division backed by BJAK, operating fully in stealth. We’re building a new global consumer AI application around an important but non-mainstream use case — something real, practical, and deeply impactful.As a Founding AI Engineer, you will work at the intersection of machine learning, backend systems, and product engineering, turning models into polished, high-performing user experiences. You’ll work closely with a small, senior, technical team and have ownership across the entire engineering stack.Why This Role MattersYou will be the bridge between powerful ML models and real user-facing product experiences.You’ll shape the foundation of an entirely new AI product from zero — architecture, systems, and the first shipped features.You’ll work across ML integration, backend logic, and frontend experiences — building intelligent systems end-to-end.You’ll operate in a lean, fast, execution-driven environment where clarity, ownership, and craftsmanship matter.Your work directly influences the technical direction, velocity, and engineering DNA of A1.What You’ll DoBuild and ship full-stack features powered by ML models (LLMs, deep learning, multimodal, etc.)Work closely with ML engineers/researchers to integrate models into scalable, reliable backend systemsDevelop APIs, pipelines, and real-time services that support intelligent product behaviorBuild clean, performant UIs that surface model outputs in intuitive waysOwn the full development lifecycle — architecture, implementation, testing, deployment, monitoringDrive technical decisions that balance speed, quality, and scalabilityCollaborate directly with product and design to iterate fast and refine user workflowsContinuously improve system performance, latency, stability, and model integrationYou’ll Thrive Here If You…Own outcomes - you care about the end user, not just the codeEnjoy working across ML, backend, and frontend layersMove fast with clarity - V1 shipped today beats V3 planned for somedayThrive in ambiguity - you figure things out without waiting for perfect specsThink like a builder - small team, high leverage, real impactLearn aggressively - new frameworks, tools, and ideas excite youBring energy, discipline, and a high bar for executionCommunicate clearly and enjoy collaborating with deeply technical teammatesRequirementsBachelor’s degree in Computer Science, Software Engineering, or equivalentStrong proficiency in Python (required)2–5 years of experience in full-stack or backend-heavy engineeringStrong programming skills in JavaScript/TypeScript (Node.js, React, or similar)Experience integrating ML models into production systemsSolid understanding of building APIs, distributed systems, and cloud deploymentsComfortable working with SQL/NoSQL databasesStrong grasp of software architecture, testing, reliability, and debuggingAbility to work independently in a lean, remote-first, high-ownership environmentNice to HaveExperience deploying ML models (FastAPI, Flask, TensorFlow Serving, Triton, etc.)Familiarity with modern frontend stacks (Next.js, Vue, TypeScript)Experience with ML tooling (MLflow, Airflow, Docker, K8s, GCP/AWS)Exposure to LLM fine-tuning, embeddings, or model optimisationBackground in startups or fast-moving product teamsInterest in explainable AI or designing UI patterns for complex model outputsWhat You’ll GetCompetitive compensation with meaningful ownership and long-term upsideRemote-first setup - flexibility across regions and time zonesHigh-impact role with visibility across engineering, ML, and productA chance to shape a new global AI product from day zeroFlat, technical culture - your ideas and code matterThe backing of a profitable group valued at over US$2B, but the speed of a startupA seat at the table in defining the future of A1About A1A1 is a self-funded, independent AI division backed by BJAK. We’re building a new consumer AI application around a high-impact global use case that isn’t yet addressed by mainstream players. Operating fully in stealth, we’re assembling a small, elite team of ML and engineering builders who care about shipping real systems that make a difference.

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Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI division backed by BJAK, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case — something practical, meaningful, and far beyond the typical chatbot or productivity agent.As a Machine Learning Engineer, you will work at the core of our product: fine-tuning frontier-level models, shaping data pipelines, evaluating behavior, and bringing intelligent features into real production environments. You’ll operate with high autonomy within a small, deeply technical team.Why This Role MattersYou will turn state-of-the-art models into real product capabilities used by a global audience.You’ll define how our models behave — accuracy, safety, tone, and user experience.You’ll help build a new consumer AI product from zero, directly influencing its technical and product direction.Your work will ensure our models are not only powerful, but safe, reliable, and impactful at scale.What You’ll DoFine-tune and adapt models as needed while also designing new model architectures and training pipelines from scratchDesign and curate datasets, craft prompts, and experiment with alignment and safety strategies for high-quality outputs.Build evaluation pipelines for model performance, safety, and alignment, and innovate on new metrics for real-world impact.Ship models to production, optimise for latency and scale, and monitor drift or degradationCollaborate with product, engineering, and design to launch polished, user-facing AI featuresExplore new modeling approaches, optimisation methods, and product use casesWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong experience with transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation)Proficiency in PyTorch (preferred) or TensorFlowExperience in prompt engineering and dataset creation for alignment, tone, trust, and safetyFamiliarity with evaluation methods: perplexity, toxicity, relevance, robustnessSolid software engineering fundamentals — algorithms, data structures, clean codeAbility to operate in a fast, lean, and high-ownership environmentNice to HaveExperience with text generation, moderation, ranking, or personalisationExposure to RLHF or reinforcement learning for LLMsContributions to open-source ML projectsBackground in consumer-facing AI products or high-growth startupsWhat You’ll GetHigh ownership and autonomy from day oneDirect involvement in technical direction and product decisionsRemote-first flexibilityA high-impact role with visibility across ML, engineering, and productCompetitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI division under BJAK, focused on building a new consumer AI product with global relevance. We’re in full stealth and assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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Build intelligent systems end-to-end - from models to real-world product experiences.A1 is a self-funded AI division backed by BJAK, operating fully in stealth. We’re building a new global consumer AI application around an important but non-mainstream use case — something real, practical, and deeply impactful.As a Founding AI Engineer, you will work at the intersection of machine learning, backend systems, and product engineering, turning models into polished, high-performing user experiences. You’ll work closely with a small, senior, technical team and have ownership across the entire engineering stack.Why This Role MattersYou will be the bridge between powerful ML models and real user-facing product experiences.You’ll shape the foundation of an entirely new AI product from zero — architecture, systems, and the first shipped features.You’ll work across ML integration, backend logic, and frontend experiences — building intelligent systems end-to-end.You’ll operate in a lean, fast, execution-driven environment where clarity, ownership, and craftsmanship matter.Your work directly influences the technical direction, velocity, and engineering DNA of A1.What You’ll DoBuild and ship full-stack features powered by ML models (LLMs, deep learning, multimodal, etc.)Work closely with ML engineers/researchers to integrate models into scalable, reliable backend systemsDevelop APIs, pipelines, and real-time services that support intelligent product behaviorBuild clean, performant UIs that surface model outputs in intuitive waysOwn the full development lifecycle — architecture, implementation, testing, deployment, monitoringDrive technical decisions that balance speed, quality, and scalabilityCollaborate directly with product and design to iterate fast and refine user workflowsContinuously improve system performance, latency, stability, and model integrationYou’ll Thrive Here If You…Own outcomes - you care about the end user, not just the codeEnjoy working across ML, backend, and frontend layersMove fast with clarity - V1 shipped today beats V3 planned for somedayThrive in ambiguity - you figure things out without waiting for perfect specsThink like a builder - small team, high leverage, real impactLearn aggressively - new frameworks, tools, and ideas excite youBring energy, discipline, and a high bar for executionCommunicate clearly and enjoy collaborating with deeply technical teammatesRequirementsBachelor’s degree in Computer Science, Software Engineering, or equivalentStrong proficiency in Python (required)2–5 years of experience in full-stack or backend-heavy engineeringStrong programming skills in JavaScript/TypeScript (Node.js, React, or similar)Experience integrating ML models into production systemsSolid understanding of building APIs, distributed systems, and cloud deploymentsComfortable working with SQL/NoSQL databasesStrong grasp of software architecture, testing, reliability, and debuggingAbility to work independently in a lean, remote-first, high-ownership environmentNice to HaveExperience deploying ML models (FastAPI, Flask, TensorFlow Serving, Triton, etc.)Familiarity with modern frontend stacks (Next.js, Vue, TypeScript)Experience with ML tooling (MLflow, Airflow, Docker, K8s, GCP/AWS)Exposure to LLM fine-tuning, embeddings, or model optimisationBackground in startups or fast-moving product teamsInterest in explainable AI or designing UI patterns for complex model outputsWhat You’ll GetCompetitive compensation with meaningful ownership and long-term upsideRemote-first setup - flexibility across regions and time zonesHigh-impact role with visibility across engineering, ML, and productA chance to shape a new global AI product from day zeroFlat, technical culture - your ideas and code matterThe backing of a profitable group valued at over US$2B, but the speed of a startupA seat at the table in defining the future of A1About A1A1 is a self-funded, independent AI division backed by BJAK. We’re building a new consumer AI application around a high-impact global use case that isn’t yet addressed by mainstream players. Operating fully in stealth, we’re assembling a small, elite team of ML and engineering builders who care about shipping real systems that make a difference.

false

Build intelligent systems end-to-end - from models to real-world product experiences.A1 is a self-funded AI division backed by BJAK, operating fully in stealth. We’re building a new global consumer AI application around an important but non-mainstream use case — something real, practical, and deeply impactful.As a Founding AI Engineer, you will work at the intersection of machine learning, backend systems, and product engineering, turning models into polished, high-performing user experiences. You’ll work closely with a small, senior, technical team and have ownership across the entire engineering stack.Why This Role MattersYou will be the bridge between powerful ML models and real user-facing product experiences.You’ll shape the foundation of an entirely new AI product from zero — architecture, systems, and the first shipped features.You’ll work across ML integration, backend logic, and frontend experiences — building intelligent systems end-to-end.You’ll operate in a lean, fast, execution-driven environment where clarity, ownership, and craftsmanship matter.Your work directly influences the technical direction, velocity, and engineering DNA of A1.What You’ll DoBuild and ship full-stack features powered by ML models (LLMs, deep learning, multimodal, etc.)Work closely with ML engineers/researchers to integrate models into scalable, reliable backend systemsDevelop APIs, pipelines, and real-time services that support intelligent product behaviorBuild clean, performant UIs that surface model outputs in intuitive waysOwn the full development lifecycle — architecture, implementation, testing, deployment, monitoringDrive technical decisions that balance speed, quality, and scalabilityCollaborate directly with product and design to iterate fast and refine user workflowsContinuously improve system performance, latency, stability, and model integrationYou’ll Thrive Here If You…Own outcomes - you care about the end user, not just the codeEnjoy working across ML, backend, and frontend layersMove fast with clarity - V1 shipped today beats V3 planned for somedayThrive in ambiguity - you figure things out without waiting for perfect specsThink like a builder - small team, high leverage, real impactLearn aggressively - new frameworks, tools, and ideas excite youBring energy, discipline, and a high bar for executionCommunicate clearly and enjoy collaborating with deeply technical teammatesRequirementsBachelor’s degree in Computer Science, Software Engineering, or equivalentStrong proficiency in Python (required)2–5 years of experience in full-stack or backend-heavy engineeringStrong programming skills in JavaScript/TypeScript (Node.js, React, or similar)Experience integrating ML models into production systemsSolid understanding of building APIs, distributed systems, and cloud deploymentsComfortable working with SQL/NoSQL databasesStrong grasp of software architecture, testing, reliability, and debuggingAbility to work independently in a lean, remote-first, high-ownership environmentNice to HaveExperience deploying ML models (FastAPI, Flask, TensorFlow Serving, Triton, etc.)Familiarity with modern frontend stacks (Next.js, Vue, TypeScript)Experience with ML tooling (MLflow, Airflow, Docker, K8s, GCP/AWS)Exposure to LLM fine-tuning, embeddings, or model optimisationBackground in startups or fast-moving product teamsInterest in explainable AI or designing UI patterns for complex model outputsWhat You’ll GetCompetitive compensation with meaningful ownership and long-term upsideRemote-first setup - flexibility across regions and time zonesHigh-impact role with visibility across engineering, ML, and productA chance to shape a new global AI product from day zeroFlat, technical culture - your ideas and code matterThe backing of a profitable group valued at over US$2B, but the speed of a startupA seat at the table in defining the future of A1About A1A1 is a self-funded, independent AI division backed by BJAK. We’re building a new consumer AI application around a high-impact global use case that isn’t yet addressed by mainstream players. Operating fully in stealth, we’re assembling a small, elite team of ML and engineering builders who care about shipping real systems that make a difference.

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📍 工作安排：中国（远程办公 - 可在全国任何地方工作）构建引领东南亚金融普惠未来的 AI 系统在 BJAK，我们致力于用人工智能解决真正有意义的问题——从欺诈检测、风险建模，到高度个性化的金融体验，让保险与金融服务变得更易获取、更易理解、更易承担。我们正在寻找一位AI 技术负责人（Lead AI Engineer），常驻中国，加入我们打造下一代智能系统的核心团队。这个岗位将结合深厚的技术能力与团队领导力，直接汇报给我们的 AI 负责人。你将亲自编写生产级代码、制定技术战略、辅导团队成员，并推动我们建设一支高效、精干、世界级的 AI 工程团队。为什么这个岗位重要你将设计并部署面向数百万用户的核心 AI 系统你将作为 AI 负责人的左膀右臂，推进技术执行与工程标准你将带领和指导初中级工程师，提升团队整体技术能力你将在招聘和扩建高绩效 AI 团队中发挥关键作用你将负责的工作设计、构建并交付生产级机器学习模型，聚焦高价值业务场景负责模型架构、数据管道设计与部署策略的制定与产品、工程、数据团队紧密协作，推动 AI 项目落地全程主导 ML 生命周期：数据准备、训练、部署与监控参与代码审查、项目指导，并协助解决技术难题推动实验精神、持续学习与最佳实践的落地参与面试及技术评估，助力团队扩张与人才选拔跟踪 AI/ML 领域的前沿技术，并将创新落地到生产环境如果你具备以下特质，你将非常适合这个岗位以身作则 - 不仅写代码，更带动团队一起成长拥有主人翁思维 - 遇到问题主动出手解决，不等命令快速且深入 - 在权衡取舍中做出高效且明智的技术决策混乱中推导清晰 - 善于建立结构，明确方向，推动执行注重落地成果 - 聚焦现实问题的解决，而非学术追求热爱带人 - 享受辅导他人成长，看到团队成员取得进步快速适应变化 - 能应对不确定性与优先级频繁调整拥有 Builder 心态 - 快速原型、快速试错、快速迭代不断学习 - 技术、产品、管理全面成长，从不设限任职要求计算机科学、工程或相关领域的本科或硕士学历必须具备熟练的 Python 技能4-6 年 AI/机器学习工程经验，有真实场景的模型部署经验深入理解并熟练应用 ML 框架（如 TensorFlow、PyTorch、Scikit-learn）熟悉完整的 ML 生命周期，包括数据管道、训练、验证与监控有推荐系统、欺诈检测、风险建模、自然语言处理等实际项目经验有技术领导经历，能够有效辅导工程师并带领团队完成任务出色的沟通能力与跨团队协作能力常驻中国，并可远程与区域团队进行日常合作加分项有使用 MLOps 工具经验（如 MLflow、Airflow、Docker、GCP/AWS 等）熟悉 Responsible AI 实践（公平性、可解释性、模型治理等）有初创或高速扩张型公司工作经验有构建内部工具、可复用 ML 组件或 AI 平台的经验你将获得有竞争力的薪资与绩效奖金完全远程、灵活的办公制度（中国境内不限地点）高度自主权，影响力覆盖整个区域市场直接向 AI 负责人汇报，并参与公司高层技术讨论领导并塑造一支正在快速成长的 AI 工程团队快速的职业发展路径与学习机会扁平高效的协作文化，好点子快速落地，优秀工作被看见关于 BJAKBJAK 是东南亚最大的数字保险平台，服务数百万用户，致力于提供透明、可负担的金融保障。总部位于马来西亚，业务覆盖泰国、台湾、日本。我们正构建 AI 驱动的系统，让复杂的金融服务变得更易用、更快速、更公平。我们的技术以用户为中心，快速响应业务需求 - 无论是个性化定价引擎、智能自动化还是欺诈检测系统，BJAK 始终致力于用 AI 改善金融体验。如果你希望构建、领导并扩展真正有价值的 AI 系统，期待在一个思维大胆、节奏迅速的团队中快速成长，欢迎你加入我们！------------------------------------------------------------------------------------📍 Working Arrangement: China (Remote - work from anywhere in China)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 China 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 China 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 ChinaHigh 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.

false

Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI division backed by BJAK, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case — something practical, meaningful, and far beyond the typical chatbot or productivity agent.As a Machine Learning Engineer, you will work at the core of our product: fine-tuning frontier-level models, shaping data pipelines, evaluating behavior, and bringing intelligent features into real production environments. You’ll operate with high autonomy within a small, deeply technical team.Why This Role MattersYou will turn state-of-the-art models into real product capabilities used by a global audience.You’ll define how our models behave — accuracy, safety, tone, and user experience.You’ll help build a new consumer AI product from zero, directly influencing its technical and product direction.Your work will ensure our models are not only powerful, but safe, reliable, and impactful at scale.What You’ll DoFine-tune and adapt models as needed while also designing new model architectures and training pipelines from scratchDesign and curate datasets, craft prompts, and experiment with alignment and safety strategies for high-quality outputs.Build evaluation pipelines for model performance, safety, and alignment, and innovate on new metrics for real-world impact.Ship models to production, optimise for latency and scale, and monitor drift or degradationCollaborate with product, engineering, and design to launch polished, user-facing AI featuresExplore new modeling approaches, optimisation methods, and product use casesWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong experience with transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation)Proficiency in PyTorch (preferred) or TensorFlowExperience in prompt engineering and dataset creation for alignment, tone, trust, and safetyFamiliarity with evaluation methods: perplexity, toxicity, relevance, robustnessSolid software engineering fundamentals — algorithms, data structures, clean codeAbility to operate in a fast, lean, and high-ownership environmentNice to HaveExperience with text generation, moderation, ranking, or personalisationExposure to RLHF or reinforcement learning for LLMsContributions to open-source ML projectsBackground in consumer-facing AI products or high-growth startupsWhat You’ll GetHigh ownership and autonomy from day oneDirect involvement in technical direction and product decisionsRemote-first flexibilityA high-impact role with visibility across ML, engineering, and productCompetitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI division under BJAK, focused on building a new consumer AI product with global relevance. We’re in full stealth and assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

true

Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI division backed by BJAK, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case — something practical, meaningful, and far beyond the typical chatbot or productivity agent.As a Machine Learning Engineer, you will work at the core of our product: fine-tuning frontier-level models, shaping data pipelines, evaluating behavior, and bringing intelligent features into real production environments. You’ll operate with high autonomy within a small, deeply technical team.Why This Role MattersYou will turn state-of-the-art models into real product capabilities used by a global audience.You’ll define how our models behave — accuracy, safety, tone, and user experience.You’ll help build a new consumer AI product from zero, directly influencing its technical and product direction.Your work will ensure our models are not only powerful, but safe, reliable, and impactful at scale.What You’ll DoFine-tune and adapt models as needed while also designing new model architectures and training pipelines from scratchDesign and curate datasets, craft prompts, and experiment with alignment and safety strategies for high-quality outputs.Build evaluation pipelines for model performance, safety, and alignment, and innovate on new metrics for real-world impact.Ship models to production, optimise for latency and scale, and monitor drift or degradationCollaborate with product, engineering, and design to launch polished, user-facing AI featuresExplore new modeling approaches, optimisation methods, and product use casesWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong experience with transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation)Proficiency in PyTorch (preferred) or TensorFlowExperience in prompt engineering and dataset creation for alignment, tone, trust, and safetyFamiliarity with evaluation methods: perplexity, toxicity, relevance, robustnessSolid software engineering fundamentals — algorithms, data structures, clean codeAbility to operate in a fast, lean, and high-ownership environmentNice to HaveExperience with text generation, moderation, ranking, or personalisationExposure to RLHF or reinforcement learning for LLMsContributions to open-source ML projectsBackground in consumer-facing AI products or high-growth startupsWhat You’ll GetHigh ownership and autonomy from day oneDirect involvement in technical direction and product decisionsRemote-first flexibilityA high-impact role with visibility across ML, engineering, and productCompetitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI division under BJAK, focused on building a new consumer AI product with global relevance. We’re in full stealth and assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

true

Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI division backed by BJAK, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case — something practical, meaningful, and far beyond the typical chatbot or productivity agent.As a Machine Learning Engineer, you will work at the core of our product: fine-tuning frontier-level models, shaping data pipelines, evaluating behavior, and bringing intelligent features into real production environments. You’ll operate with high autonomy within a small, deeply technical team.Why This Role MattersYou will turn state-of-the-art models into real product capabilities used by a global audience.You’ll define how our models behave — accuracy, safety, tone, and user experience.You’ll help build a new consumer AI product from zero, directly influencing its technical and product direction.Your work will ensure our models are not only powerful, but safe, reliable, and impactful at scale.What You’ll DoFine-tune and adapt models as needed while also designing new model architectures and training pipelines from scratchDesign and curate datasets, craft prompts, and experiment with alignment and safety strategies for high-quality outputs.Build evaluation pipelines for model performance, safety, and alignment, and innovate on new metrics for real-world impact.Ship models to production, optimise for latency and scale, and monitor drift or degradationCollaborate with product, engineering, and design to launch polished, user-facing AI featuresExplore new modeling approaches, optimisation methods, and product use casesWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong experience with transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation)Proficiency in PyTorch (preferred) or TensorFlowExperience in prompt engineering and dataset creation for alignment, tone, trust, and safetyFamiliarity with evaluation methods: perplexity, toxicity, relevance, robustnessSolid software engineering fundamentals — algorithms, data structures, clean codeAbility to operate in a fast, lean, and high-ownership environmentNice to HaveExperience with text generation, moderation, ranking, or personalisationExposure to RLHF or reinforcement learning for LLMsContributions to open-source ML projectsBackground in consumer-facing AI products or high-growth startupsWhat You’ll GetHigh ownership and autonomy from day oneDirect involvement in technical direction and product decisionsRemote-first flexibilityA high-impact role with visibility across ML, engineering, and productCompetitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI division under BJAK, focused on building a new consumer AI product with global relevance. We’re in full stealth and assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI division backed by BJAK, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case — something practical, meaningful, and far beyond the typical chatbot or productivity agent.As a Machine Learning Engineer, you will work at the core of our product: fine-tuning frontier-level models, shaping data pipelines, evaluating behavior, and bringing intelligent features into real production environments. You’ll operate with high autonomy within a small, deeply technical team.Why This Role MattersYou will turn state-of-the-art models into real product capabilities used by a global audience.You’ll define how our models behave — accuracy, safety, tone, and user experience.You’ll help build a new consumer AI product from zero, directly influencing its technical and product direction.Your work will ensure our models are not only powerful, but safe, reliable, and impactful at scale.What You’ll DoFine-tune and adapt models as needed while also designing new model architectures and training pipelines from scratchDesign and curate datasets, craft prompts, and experiment with alignment and safety strategies for high-quality outputs.Build evaluation pipelines for model performance, safety, and alignment, and innovate on new metrics for real-world impact.Ship models to production, optimise for latency and scale, and monitor drift or degradationCollaborate with product, engineering, and design to launch polished, user-facing AI featuresExplore new modeling approaches, optimisation methods, and product use casesWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong experience with transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation)Proficiency in PyTorch (preferred) or TensorFlowExperience in prompt engineering and dataset creation for alignment, tone, trust, and safetyFamiliarity with evaluation methods: perplexity, toxicity, relevance, robustnessSolid software engineering fundamentals — algorithms, data structures, clean codeAbility to operate in a fast, lean, and high-ownership environmentNice to HaveExperience with text generation, moderation, ranking, or personalisationExposure to RLHF or reinforcement learning for LLMsContributions to open-source ML projectsBackground in consumer-facing AI products or high-growth startupsWhat You’ll GetHigh ownership and autonomy from day oneDirect involvement in technical direction and product decisionsRemote-first flexibilityA high-impact role with visibility across ML, engineering, and productCompetitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI division under BJAK, focused on building a new consumer AI product with global relevance. We’re in full stealth and assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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Shape AI That Powers the Future of Financial AccessAt BJAK, we use AI to solve meaningful, high-impact 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 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. You’ll write production code, shape strategy, mentor engineers, and help build a lean, world-class AI team.The position supports fully work model.Why This Role MattersYou’ll design and deploy core AI systems that support millions of usersYou’ll partner closely with the Head of AI to drive technical execution and engineering excellenceYou’ll mentor junior engineers and elevate team performanceYou’ll play a central role in technical hiring and scaling the AI organisationWhat You’ll DoDesign, build, and ship production-grade ML models for high-impact use casesLead model architecture decisions, data pipeline design, and deployment strategiesCollaborate across product, engineering, and data teams to drive AI initiatives end-to-endOwn the full ML lifecycle: data preparation, training, validation, deployment, monitoringReview code, guide technical projects, and mentor engineers through challengesPromote experimentation, continuous learning, and AI best practicesInterview and evaluate candidates as part of the technical hiring processStay ahead of emerging ML techniques and bring cutting-edge approaches into productionYou’ll Thrive Here If You…Lead from the front - hands-on with code while lifting the team around youThink like an owner - solving problems proactively, not waiting for instructionsOperate with speed and depth - making fast, sound decisions with clear trade-offsBring clarity - adding structure and direction even in fast-moving environmentsCare about impact - focusing on solutions that matter in the real worldEnjoy mentoring - helping others grow is part of your leadership DNAAdapt quickly - ambiguity and changing priorities don’t slow you downHave a builder’s mindset - prototype fast, iterate fast, improve fastCommit to continuous learning - across technical, product, and leadership skillsetsRequirementsBachelor’s or Master’s degree in Computer Science, Engineering, or a related fieldStrong proficiency in PythonOver 4 years of AI/ML engineering experience with real-world deploymentDeep expertise with ML frameworks (TensorFlow, PyTorch, Scikit-learn)Solid understanding of end-to-end ML workflows: data pipelines, training, validation, monitoringExperience working on applied AI problems (e.g., recommendation, fraud, risk, NLP, etc.)Proven track record of technical leadership and mentoringExcellent communication, collaboration, and problem-solving skillsComfortable working remotely with distributed teams across time zonesNice to HaveExperience with MLOps tools (MLflow, Airflow, Docker, GCP/AWS)Familiarity with responsible AI principles (fairness, interpretability, model governance)Startup or scale-up environment experienceExperience developing internal tools, reusable ML components, or AI platformsWhat You’ll GetCompetitive salary and performance bonusesRemote-first work culture, with a hybrid work option for Malaysia-based team membersHigh ownership and visibility - your work directly impacts regional-scale systemsDirect reporting line to the Head of AI with leadership exposureOpportunity to build and grow a high-performance AI engineering teamFast career growth and learning in a high-velocity environmentFlat, collaborative culture where ideas move fast and great work gets noticedAbout BJAKBJAK is a leading digital insurance platform serving millions of users with transparent and affordable financial protection. We simplify financial services using AI, automation, and smart APIs, and we’re building next-generation intelligent systems to make finance accessible, fast, and fair for everyone.From personalized pricing engines to smart automation and fraud detection, we focus on technology that solves real problems at scale.If you’re ready to build, lead, and scale AI systems that matter - in a company that moves fast and thinks big - we’d love to hear from you.

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Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI division backed by BJAK, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case — something practical, meaningful, and far beyond the typical chatbot or productivity agent.As a Machine Learning Engineer, you will work at the core of our product: fine-tuning frontier-level models, shaping data pipelines, evaluating behavior, and bringing intelligent features into real production environments. You’ll operate with high autonomy within a small, deeply technical team.Why This Role MattersYou will turn state-of-the-art models into real product capabilities used by a global audience.You’ll define how our models behave — accuracy, safety, tone, and user experience.You’ll help build a new consumer AI product from zero, directly influencing its technical and product direction.Your work will ensure our models are not only powerful, but safe, reliable, and impactful at scale.What You’ll DoFine-tune and adapt models as needed while also designing new model architectures and training pipelines from scratchDesign and curate datasets, craft prompts, and experiment with alignment and safety strategies for high-quality outputs.Build evaluation pipelines for model performance, safety, and alignment, and innovate on new metrics for real-world impact.Ship models to production, optimise for latency and scale, and monitor drift or degradationCollaborate with product, engineering, and design to launch polished, user-facing AI featuresExplore new modeling approaches, optimisation methods, and product use casesWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong experience with transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation)Proficiency in PyTorch (preferred) or TensorFlowExperience in prompt engineering and dataset creation for alignment, tone, trust, and safetyFamiliarity with evaluation methods: perplexity, toxicity, relevance, robustnessSolid software engineering fundamentals — algorithms, data structures, clean codeAbility to operate in a fast, lean, and high-ownership environmentNice to HaveExperience with text generation, moderation, ranking, or personalisationExposure to RLHF or reinforcement learning for LLMsContributions to open-source ML projectsBackground in consumer-facing AI products or high-growth startupsWhat You’ll GetHigh ownership and autonomy from day oneDirect involvement in technical direction and product decisionsRemote-first flexibilityA high-impact role with visibility across ML, engineering, and productCompetitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI division under BJAK, focused on building a new consumer AI product with global relevance. We’re in full stealth and assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI division backed by BJAK, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case — something practical, meaningful, and far beyond the typical chatbot or productivity agent.As a Machine Learning Engineer, you will work at the core of our product: fine-tuning frontier-level models, shaping data pipelines, evaluating behavior, and bringing intelligent features into real production environments. You’ll operate with high autonomy within a small, deeply technical team.Why This Role MattersYou will turn state-of-the-art models into real product capabilities used by a global audience.You’ll define how our models behave — accuracy, safety, tone, and user experience.You’ll help build a new consumer AI product from zero, directly influencing its technical and product direction.Your work will ensure our models are not only powerful, but safe, reliable, and impactful at scale.What You’ll DoFine-tune and adapt models as needed while also designing new model architectures and training pipelines from scratchDesign and curate datasets, craft prompts, and experiment with alignment and safety strategies for high-quality outputs.Build evaluation pipelines for model performance, safety, and alignment, and innovate on new metrics for real-world impact.Ship models to production, optimise for latency and scale, and monitor drift or degradationCollaborate with product, engineering, and design to launch polished, user-facing AI featuresExplore new modeling approaches, optimisation methods, and product use casesWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong experience with transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation)Proficiency in PyTorch (preferred) or TensorFlowExperience in prompt engineering and dataset creation for alignment, tone, trust, and safetyFamiliarity with evaluation methods: perplexity, toxicity, relevance, robustnessSolid software engineering fundamentals — algorithms, data structures, clean codeAbility to operate in a fast, lean, and high-ownership environmentNice to HaveExperience with text generation, moderation, ranking, or personalisationExposure to RLHF or reinforcement learning for LLMsContributions to open-source ML projectsBackground in consumer-facing AI products or high-growth startupsWhat You’ll GetHigh ownership and autonomy from day oneDirect involvement in technical direction and product decisionsRemote-first flexibilityA high-impact role with visibility across ML, engineering, and productCompetitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI division under BJAK, focused on building a new consumer AI product with global relevance. We’re in full stealth and assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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Build AI Systems That Make Finance Simpler, Smarter, and More InclusiveAt BJAK, we use AI to make insurance and financial services easier to access, understand, and afford for millions of users. 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 is a fully remote role, working closely with cross-functional teams across regions. You’ll join a fast-paced, flat engineering environment where your execution and ideas shape real-world outcomes every day.Why This Role MattersYour work will directly improve user experience, efficiency, and platform intelligenceYou’ll contribute to production-grade AI systems that support millions of usersYou’ll collaborate across product, data, and engineering to build scalable ML tools end-to-endYou’ll grow quickly in a lean, high-impact environmentWhat You’ll DoWork with product, data, and engineering teams to define ML goals and technical strategiesDesign, build, and deploy machine learning models for personalization, automation, and insightsManage the full ML lifecycle: data preprocessing, feature engineering, training, tuning, evaluation, deploymentBuild scalable ML infrastructure and deployment pipelinesIntegrate ML outputs into user-facing products and backend systemsStay up-to-date with AI/ML research trends and apply relevant innovationsContribute to debugging, testing, and optimization of production ML systemsYou’ll Thrive Here If You...Take full ownership and ensure the models you build drive real-world resultsAre a self-starter who can figure things out even with ambiguityMove with urgency — ship fast, iterate fasterOwn problems end-to-end, from messy data to deploymentBring a humble, collaborative, team-first attitudeStay calm in fast-changing, high-growth environmentsLearn obsessively and share openlyRequirementsBachelor’s degree in Computer Science, Data Science, Engineering, or any related technical fieldStrong proficiency in Python2–4 years of experience in machine learning or backend software developmentHands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)Solid understanding of ML workflows: data cleaning, model development, tuning, evaluationFamiliarity with model deployment, API development, or real-world ML product integrationExperience with Jupyter, Colab, or cloud-based ML platformsStrong analytical, problem-solving, and communication skillsComfortable working remotely and collaborating across time zonesNice to HaveExperience with NLP, computer vision, or recommendation systemsFamiliarity with AWS, GCP, or AzureExposure to Docker, Git, or CI/CD pipelinesBackground in high-growth startups or agile product teamsWhat You’ll GetCompetitive salary and performance-based bonusesFlexible, fully remote work arrangementDirect impact - your work reaches millions of usersFlat, transparent team environmentOpportunities for rapid personal and technical growthCross-regional collaboration and exposureAbout BJAKBJAK is a leading digital insurance platform, helping millions of users access affordable and transparent financial protection. We simplify financial services through AI, automation, and smart APIs, and 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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Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI division backed by BJAK, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case — something practical, meaningful, and far beyond the typical chatbot or productivity agent.As a Machine Learning Engineer, you will work at the core of our product: fine-tuning frontier-level models, shaping data pipelines, evaluating behavior, and bringing intelligent features into real production environments. You’ll operate with high autonomy within a small, deeply technical team.Why This Role MattersYou will turn state-of-the-art models into real product capabilities used by a global audience.You’ll define how our models behave — accuracy, safety, tone, and user experience.You’ll help build a new consumer AI product from zero, directly influencing its technical and product direction.Your work will ensure our models are not only powerful, but safe, reliable, and impactful at scale.What You’ll DoFine-tune and adapt models as needed while also designing new model architectures and training pipelines from scratchDesign and curate datasets, craft prompts, and experiment with alignment and safety strategies for high-quality outputs.Build evaluation pipelines for model performance, safety, and alignment, and innovate on new metrics for real-world impact.Ship models to production, optimise for latency and scale, and monitor drift or degradationCollaborate with product, engineering, and design to launch polished, user-facing AI featuresExplore new modeling approaches, optimisation methods, and product use casesWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong experience with transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation)Proficiency in PyTorch (preferred) or TensorFlowExperience in prompt engineering and dataset creation for alignment, tone, trust, and safetyFamiliarity with evaluation methods: perplexity, toxicity, relevance, robustnessSolid software engineering fundamentals — algorithms, data structures, clean codeAbility to operate in a fast, lean, and high-ownership environmentNice to HaveExperience with text generation, moderation, ranking, or personalisationExposure to RLHF or reinforcement learning for LLMsContributions to open-source ML projectsBackground in consumer-facing AI products or high-growth startupsWhat You’ll GetHigh ownership and autonomy from day oneDirect involvement in technical direction and product decisionsRemote-first flexibilityA high-impact role with visibility across ML, engineering, and productCompetitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI division under BJAK, focused on building a new consumer AI product with global relevance. We’re in full stealth and assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI division backed by BJAK, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case — something practical, meaningful, and far beyond the typical chatbot or productivity agent.As a Machine Learning Engineer, you will work at the core of our product: fine-tuning frontier-level models, shaping data pipelines, evaluating behavior, and bringing intelligent features into real production environments. You’ll operate with high autonomy within a small, deeply technical team.Why This Role MattersYou will turn state-of-the-art models into real product capabilities used by a global audience.You’ll define how our models behave — accuracy, safety, tone, and user experience.You’ll help build a new consumer AI product from zero, directly influencing its technical and product direction.Your work will ensure our models are not only powerful, but safe, reliable, and impactful at scale.What You’ll DoFine-tune and adapt models as needed while also designing new model architectures and training pipelines from scratchDesign and curate datasets, craft prompts, and experiment with alignment and safety strategies for high-quality outputs.Build evaluation pipelines for model performance, safety, and alignment, and innovate on new metrics for real-world impact.Ship models to production, optimise for latency and scale, and monitor drift or degradationCollaborate with product, engineering, and design to launch polished, user-facing AI featuresExplore new modeling approaches, optimisation methods, and product use casesWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong experience with transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation)Proficiency in PyTorch (preferred) or TensorFlowExperience in prompt engineering and dataset creation for alignment, tone, trust, and safetyFamiliarity with evaluation methods: perplexity, toxicity, relevance, robustnessSolid software engineering fundamentals — algorithms, data structures, clean codeAbility to operate in a fast, lean, and high-ownership environmentNice to HaveExperience with text generation, moderation, ranking, or personalisationExposure to RLHF or reinforcement learning for LLMsContributions to open-source ML projectsBackground in consumer-facing AI products or high-growth startupsWhat You’ll GetHigh ownership and autonomy from day oneDirect involvement in technical direction and product decisionsRemote-first flexibilityA high-impact role with visibility across ML, engineering, and productCompetitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI division under BJAK, focused on building a new consumer AI product with global relevance. We’re in full stealth and assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.