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 Robust 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: If Repowise found something real in your code, a star helps the next engineer find it

📌 SDE Intern (Founding Team) | AI x Developer Tools | Remote (Karnataka)
🏢 Repowise
📍 Karnataka