Find AI Work That Works for 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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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.

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

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

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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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.

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

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.

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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FERMÀT is the AI native commerce platform that optimizes shopping experiences, leading to best-in-class shopper engagement and conversion. We help brands transform clicks into conversions with dynamic, personalized shopping experiences—built and optimized in minutes.Backed by VMG, Bain Capital Ventures, Greylock, QED, and named The Information’s #1 commerce startup, we’re a 70+ person team based in SF, Austin, NYC, and Bangalore. As a fast-growing Series B company, we’re building the infrastructure for the future of online retail—and we’re just getting started.About the Role:We're looking for New Grad Software Engineers to join FERMÀT and help build the future of AI-native commerce. You will work on challenging problems across our platform—from building scalable systems that handle millions of shoppers to creating AI-powered features that personalize shopping experiences.This is a generalist role where you'll rotate across different parts of our stack and product areas. You'll work alongside experienced engineers who are invested in helping you grow from a new grad into a strong engineer, while taking on real ownership of features that directly impact our customers. What You'll Work On:You'll tackle a diverse range of problems across our platform:Full-Stack DevelopmentBuild features that span from frontend interfaces to backend servicesCreate intuitive user experiences for complex commerce workflowsDesign and implement APIs that power our platformWork with databases to model and query commerce data at scaleAI & PersonalizationBuild features that leverage LLMs to generate and optimize shopping experiencesImplement personalization systems that adapt to shopper behaviorWork on experimentation infrastructure to test and measure AI-driven optimizationsHelp train and fine-tune models for commerce-specific use casesInfrastructure & ScaleBuild systems that handle millions of requests reliablyOptimize performance for high-traffic commerce scenariosDesign data pipelines that process and analyze shopper behaviorWork on deployment and monitoring systemsYou'll spend your first few months ramping up on our stack and shipping smaller features, with increasing ownership and complexity as you grow. We believe in giving engineers real problems to solve from day one. What We're Looking For:Required:Bachelor's or Master's degree in Computer Science, Software Engineering, or related fieldStrong foundation in data structures, algorithms, and software designExperience building projects with at least one programming language (Go, Python, JavaScript, Java, C++, or similar)Familiarity with web development (frontend or backend)Ability to write clean, well-tested codeStrong problem-solving skills and curiosity about how things workExcellent communication and collaboration skills—you can explain technical concepts clearlyExcitement about learning quickly and working across the stackNice to Have:Internship experience at a tech company or startupProjects involving AI/ML, LLMs, or data systemsExperience with TypeScript, React, Go, or PythonContributions to open source or personal projects you're proud ofCoursework or projects in distributed systems, databases, or machine learningOur Tech StackGolang • Python • TypeScript • React • Next.js • PostgreSQL • Google Cloud • Various LLM APIsDon't worry if you haven't used all of these. We're looking for engineers who can learn quickly and adapt to new technologies. What a Typical Week Looks Like:You'll spend most of your time coding—building features, fixing bugs, and learning our systems. You'll participate in daily standups, collaborate with engineers across the team, and pair program with senior engineers who can help you grow. You'll ship code regularly and see your work go live to real customers quickly.Early on, you'll work on well-scoped features with guidance. As you ramp up, you'll take on more complex problems and start making architectural decisions. How You'll Grow:Technical SkillsDevelop full-stack engineering skills across frontend, backend, and infrastructureGain hands-on experience with AI systems in productionLearn to build and scale systems that serve millions of usersMaster software engineering best practices: testing, code review, system designMentorship & SupportDedicated onboarding plan to set you up for successRegular 1:1s with your manager and senior engineersCode & tech spec reviews focused on learning and growthQuarterly goal-setting to help you progress in your careerCareer DevelopmentExposure to different parts of the stack and productOpportunities to specialize in areas that interest you (AI, infrastructure, product engineering)Clear path from new grad to mid-level and senior engineerCulture that values learning and experimentationWhy Join FERMÀT as a New GradReal impact from day one: Your code will be used by major brands and millions of shoppersLearn from the best: Work with experienced engineers from companies like Stripe, Google, and top startupsCutting-edge technology: Work on AI-native products at the intersection of commerce and machine learningFast-paced growth: Series B startup where you'll wear different hats and learn rapidlyStrong engineering culture: We value code quality, thoughtful design, and continuous learningBenefitsCompetitive salary + equity packageComprehensive health, dental, and vision insurance for you and all your dependents.Retirement benefits:US: 401(k) plan with 4% matchingIndia: Provident Fund with 12% matching4 months of paid parental leaveUnlimited PTO policy (with minimum 5 days PTO / quarter!)

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI. What we doThe Mindrift platform, launched and powered by Toloka, connects domain experts with cutting-edge AI projects from innovative tech clients. Our mission is to unlock the potential of GenAI by tapping into real-world expertise from across the globe. Who we're looking for:We’re looking for curious and intellectually proactive contributors, the kind of person who double-checks assumptions and plays devil’s advocate. Are you comfortable with ambiguity and complexity? Does an async, remote, flexible opportunity sound exciting? Would you like to learn how modern AI systems are tested and evaluated?This is a flexible, project-based opportunity well-suited for:Analysts, researchers, or consultants with strong critical thinking skills.Students (senior undergrads / grad students) looking for an intellectually interesting gig.People open to a part-time and non-permanent opportunity. About the project:We’re on the hunt for QAs for autonomous AI agents for a new project focused on validating and improving complex task structures, policy logic, and agent evaluation frameworks. Throughout the project, you’ll have to balance quality assurance, research, and logical problem-solving. This project opportunity is ideal for people who enjoy looking at systems holistically and thinking through scenarios, implications, and edge cases.You do not need a coding background, but you must be curious, intellectually rigorous, and capable of evaluating the soundness and consistency of complex setups. If you’ve ever excelled in things like consulting, CHGK, Olympiads, case solving, or systems thinking — you might be a great fit.What you’ll be doing:Reviewing evaluation tasks and scenarios for logic, completeness, and realism.Identifying inconsistencies, missing assumptions, or unclear decision points.Helping define clear expected behaviors (gold standards) for AI agents.Annotating cause-effect relationships, reasoning paths, and plausible alternatives.Thinking through complex systems and policies as a human would to ensure agents are tested properly.Working closely with QA, writers, or developers to suggest refinements or edge case coverage.How to get started:Apply to this post, qualify, and get the chance to contribute to a project aligned with your skills, on your own schedule. Shape the future of AI while building tools that benefit everyone.RequirementsExcellent analytical thinking: Can reason about complex systems, scenarios, and logical implications.Strong attention to detail: Can spot contradictions, ambiguities, and vague requirements.Familiarity with structured data formats: Can read, not necessarily write JSON/YAML.Ability to assess scenarios holistically: What's missing, what’s unrealistic, what might break?Good communication and clear writing (in English) to document your findings. We also value applicants who have:Experience with policy evaluation, logic puzzles, case studies, or structured scenario design.Background in consulting, academia, olympiads (e.g. logic/math/informatics), or research.Exposure to LLMs, prompt engineering, or AI-generated content.Familiarity with QA or test-case thinking (edge cases, failure modes, “what could go wrong”).Some understanding of how scoring or evaluation works in agent testing (precision, coverage, etc.).BenefitsGet paid for your expertise, with rates that can go up to $48/hour depending on your skills, experience, and project needs.Take part in a flexible, remote, freelance project that fits around your primary professional or academic commitments.Participate in an advanced AI project and gain valuable experience to enhance your portfolio.Influence how future AI models understand and communicate in your field of expertise.