Bjak

Compensation

Full Description

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 Matters You 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 Do Build 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 systems Develop APIs, pipelines, and real-time services that support intelligent product behavior Build clean, performant UIs that surface model outputs in intuitive ways Own the full development lifecycle — architecture, implementation, testing, deployment, monitoring Drive technical decisions that balance speed, quality, and scalability Collaborate directly with product and design to iterate fast and refine user workflows Continuously improve system performance, latency, stability, and model integration You’ll Thrive Here If You… Own outcomes - you care about the end user, not just the code Enjoy working across ML, backend, and frontend layers Move fast with clarity - V1 shipped today beats V3 planned for someday Thrive in ambiguity - you figure things out without waiting for perfect specs Think like a builder - small team, high leverage, real impact Learn aggressively - new frameworks, tools, and ideas excite you Bring energy, discipline, and a high bar for execution Communicate clearly and enjoy collaborating with deeply technical teammates Requirements Bachelor’s degree in Computer Science, Software Engineering, or equivalent Strong proficiency in Python (required) 2–5 years of experience in full-stack or backend-heavy engineering Strong programming skills in JavaScript/TypeScript (Node.js, React, or similar) Experience integrating ML models into production systems Solid understanding of building APIs, distributed systems, and cloud deployments Comfortable working with SQL/NoSQL databases Strong grasp of software architecture, testing, reliability, and debugging Ability to work independently in a lean, remote-first, high-ownership environment Nice to Have Experience 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 optimisation Background in startups or fast-moving product teams Interest in explainable AI or designing UI patterns for complex model outputs What You’ll Get Competitive compensation with meaningful ownership and long-term upside Remote-first setup - flexibility across regions and time zones High-impact role with visibility across engineering, ML, and product A chance to shape a new global AI product from day zero Flat, technical culture - your ideas and code matter The backing of a profitable group valued at over US$2B, but the speed of a startup A seat at the table in defining the future of A1 About 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.