Job Description
Company Description
Repowise is a codebase intelligence platform that makes AI coding agents actually understand the code they work on. It scores every file in a repo for how likely it is to cause bugs, locates where the risk concentrates through a real dependency graph and git history, and generates the exact fix, all from one local index with zero LLM calls. With 2,500+ GitHub stars and enterprise users already running it in production, Repowise is building the trust layer for an era where AI writes a growing share of the code.
Role Description
Build and ship production-grade features across the indexing engine and AI-agent tooling
Work on core platform systems: code parsing, dependency-graph construction, and git-history analysis
Contribute to the code-health engine (defect prediction, refactoring intelligence) and the MCP tools that feed Claude Code, Cursor, and Codex
Improve performance, scalability, and accuracy of analysis across large real-world codebases
Collaborate directly with the founders on product, architecture, and technical direction
Debug, test, and maintain clean, deterministic, well-tested code
Take ownership of features from idea to deployment
Tech Stack (Exposure You'll Get)
Python, FastAPI, tree-sitter, git internals, vector search, Docker, MCP, and LLM integrations, applied to static code analysis across 15 languages
Qualifications
Strong fundamentals in Data Structures, Algorithms, and core Computer Science concepts
Proficiency in at least one programming language (Python preferred; C++, Go, or Rust a plus)
Hands-on experience with backend development or systems-style projects
Good problem-solving and debugging skills, comfort reading code you didn't write
Ability to work independently in a remote, fast-paced environment
Strong interest in developer tools, compilers/parsers, program analysis, or AI agents
Currently pursuing or recently completed a degree in Computer Science or a related field (or equivalent practical experience)
Nice to Have (Not Mandatory)
Experience with static analysis, ASTs, tree-sitter, or graph data structures
Experience building real-world projects (personal, open-source, or startup work)
Familiarity with MCP or AI coding agents (Claude Code, Cursor, Codex)
Why Join Repowise (Founding Engineer Experience)
Work directly with the founding team on a product developers genuinely love (2,500+ stars and counting)
Ship features used by engineering teams and enterprises running Repowise in production
Go deep on hard problems: program analysis, graph construction, defect prediction, agent tooling, no busywork
High ownership, fast learning, and meaningful impact from day one
Build in the open: real contributions to a fast-growing developer tool with a public footprint
Flexible, remote-first environment focused on builders and execution
pip install repowise
Repo: https://github.com/repowise-dev/repowise
If Repowise found something real in your code, a star helps the next engineer find it