Founding ML Engineer for Memory-Driven Code OS

Kodezi Inc.; San Francisco (CA); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive salary

Equity

Workspace stipend

Health, dental, and vision coverage

40+ hours per year for learning and成长

Flexible PTO

Annual team offsite

Full developer stack access

Zero micromanagement

Job summary

Kodezi Inc. is building Kodezi OS, a real-time, cross-platform operating system that heals, evolves, and documents codebases autonomously.

The Founding ML Engineer will architect intelligence powering autonomous pull requests, long-term memory, and self-improving workflows across product, infra, and full-stack teams. This in-person role is based in San Francisco, with remote options across North America and Europe for exceptional candidates.

Qualifications

• 3 to 5+ years of experience building and shipping applied ML or intelligent systems.
• Experience designing or deploying custom models, agents, or ML pipelines.
• Familiarity with retrieval-augmented generation, embeddings, and vector memory.
• Understanding of prompt chaining, output evaluation, and workflow tuning.
• Experience working with structured code data such as diffs, ASTs, repositories, or version history.
• Strong product awareness and ability to design intelligence that feels intuitive.

Responsibilities

• Design the intelligence powering autonomous pull requests, memory, and self-improving workflows.
• 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.
• Lead the roadmap for intelligence infrastructure and long-term learning.

Skills

Applied ML

Agent design

RAG & embeddings

Prompt chaining

Code data handling

Product intuition

Job description

Kodezi Inc. is building Kodezi OS, a real-time, cross-platform operating system that heals, evolves, and documents codebases autonomously.

The Founding ML Engineer will architect intelligence powering autonomous pull requests, long-term memory, and self-improving workflows across product, infra, and full-stack teams. This in-person role is based in San Francisco, with remote options across North America and Europe for exceptional candidates.