Founding AI Engineer
Vor 4 Tagen
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 Matters-
You will be the bridge between powerful ML models and real user-facing product experiences.
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You'll shape the foundation of an entirely new AI product from zero — architecture, systems, and the first shipped features.
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You'll work across ML integration, backend logic, and frontend experiences — building intelligent systems end-to-end.
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You'll operate in a lean, fast, execution-driven environment where clarity, ownership, and craftsmanship matter.
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Your work directly influences the technical direction, velocity, and engineering DNA of A1.
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Build and ship full-stack features powered by ML models (LLMs, deep learning, multimodal, etc.)
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Work closely with ML engineers/researchers to integrate models into scalable, reliable backend systems
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Develop APIs, pipelines, and real-time services that support intelligent product behavior
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Build clean, performant UIs that surface model outputs in intuitive ways
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Own the full development lifecycle — architecture, implementation, testing, deployment, monitoring
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Drive technical decisions that balance speed, quality, and scalability
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Collaborate directly with product and design to iterate fast and refine user workflows
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Continuously improve system performance, latency, stability, and model integration
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Own outcomes - you care about the end user, not just the code
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Enjoy working across ML, backend, and frontend layers
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Move fast with clarity - V1 shipped today beats V3 planned for someday
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Thrive in ambiguity - you figure things out without waiting for perfect specs
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Think like a builder - small team, high leverage, real impact
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Learn aggressively - new frameworks, tools, and ideas excite you
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Bring energy, discipline, and a high bar for execution
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Communicate clearly and enjoy collaborating with deeply technical teammates
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Bachelor's degree in Computer Science, Software Engineering, or equivalent
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Strong proficiency in Python (required)
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2–5 years of experience in full-stack or backend-heavy engineering
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Strong programming skills in JavaScript/TypeScript , React, or similar)
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Experience integrating ML models into production systems
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Solid understanding of building APIs, distributed systems, and cloud deployments
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Comfortable working with SQL/NoSQL databases
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Strong grasp of software architecture, testing, reliability, and debugging
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Ability to work independently in a lean, remote-first, high-ownership environment
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Experience deploying ML models (FastAPI, Flask, TensorFlow Serving, Triton, etc.)
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Familiarity with modern frontend stacks , Vue, TypeScript)
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Experience with ML tooling (MLflow, Airflow, Docker, K8s, GCP/AWS)
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Exposure to LLM fine-tuning, embeddings, or model optimisation
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Background in startups or fast-moving product teams
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Interest in explainable AI or designing UI patterns for complex model outputs
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Competitive compensation with meaningful ownership and long-term upside
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Remote-first setup - flexibility across regions and time zones
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High-impact role with visibility across engineering, ML, and product
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A chance to shape a new global AI product from day zero
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Flat, technical culture - your ideas and code matter
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The backing of a profitable group valued at over US$2B, but the speed of a startup
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A seat at the table in defining the future of A1
A1 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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