Founding ML Engineer

Founding ML Engineer

Design the intelligence and memory layer. LLMs, embeddings, and systems thinking required.

Kodezi isn’t just another dev tool — it’s the orchestration layer beneath your software. We’re building Kodezi OS: a real-time, cross-platform operating system that heals, evolves, and documents codebases autonomously.

As a Founding ML Engineer, you’ll architect the intelligence powering autonomous pull requests, long-term memory, and self-improving workflows. You’ll work across product, infra, and full-stack teams to embed real-time decision-making into the operating system for code.

This role is in-person in San Francisco, with remote options across North America and Europe for exceptional candidates.

🛠️ What You’ll Do

  • Design and deploy systems for healing, documentation, testing, and code evolution

  • Build and scale memory-driven workflows using embeddings and semantic context

  • Develop and refine agent behavior models for planning, implementation, and review

  • Optimize internal model routing, prompt logic, and interaction history

  • Work closely with product and frontend teams to surface model insights across the OS

  • Build internal tools for evaluating intelligence, tracing decisions, and tuning workflows

  • Lead the roadmap for intelligence infrastructure and long-term learning

🎯 What We’re Looking For

  • 3–5+ years building and shipping applied ML or intelligent systems

  • Experience designing or deploying custom models, agents, or pipelines

  • Familiarity with retrieval-augmented generation (RAG), embeddings, and vector memory

  • Understanding of prompt chaining, output evaluation, and workflow tuning

  • Experience working with structured code data — diffs, ASTs, repos, version history

  • Bonus: experience with testing models, program repair, or codebase analysis

  • Bonus: strong product awareness — you design intelligence that feels intuitive

🚀 Why Join Us

  • Be one of the first 5 engineers building the OS for autonomous code

  • Work on ML systems that act — not just suggest — inside real developer workflows

  • Help shape a product used by millions of engineers to reduce toil and increase flow

  • Operate in a high-trust, zero-micromanagement environment — full ownership from day one

  • Collaborate with deeply technical builders who care about architecture, craft, and longevity

🎁 What You’ll Get

  • Competitive salary
    No location penalty — we pay for talent, not timezone

  • Equity
    Real ownership in the OS for code

  • Workspace stipend
    Pick your gear, no red tape

  • Health, dental, and vision coverage
    Stay sharp, stay well

  • 40+ hours/year for learning & growth
    Conferences, courses, books — you choose

  • Flexible PTO
    No approvals, no accruals — rest when you need

  • Annual team offsite
    We meet IRL to connect, reflect, and build

  • Full dev stack access
    Whatever tools you need — no friction

  • Zero micromanagement
    We hire you to lead, not follow

✉️ How to Apply

We’re not looking for employees. We’re looking for early believers.

Email us at jobs@kodezi.com with:

Your resume or portfolio

Any links (GitHub, writing, tools)

A note on why this mission matters to you

Kodezi isn’t a job.

It’s a bet on a better future for code—and the operating system to sustain it.