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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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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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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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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 hybrid working 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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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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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 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.

true

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.

true

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.

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.

true

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.

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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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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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.