Job Description
Company Description
nRepowise 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.
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nRole Description
nBuild and ship production-grade features across the indexing engine and AI-agent tooling
nWork on core platform systems: code parsing, dependency-graph construction, and git-history analysis
nContribute to the code-health engine (defect prediction, refactoring intelligence) and the MCP tools that feed Claude Code, Cursor, and Codex
nImprove performance, scalability, and accuracy of analysis across large real-world codebases
nCollaborate directly with the founders on product, architecture,



and technical direction
nDebug, test, and maintain clean, deterministic, well-tested code
nTake ownership of features from idea to deployment
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nTech Stack (Exposure You'll Get)
nPython, FastAPI, tree-sitter, git internals, vector search, Docker, MCP, and LLM integrations, applied to static code analysis across 15 languages
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nQualifications
nStrong fundamentals in Data Structures, Algorithms, and core Computer Science concepts
nProficiency in at least one programming language (Python preferred; C++, Go, or Rust a plus)
nHands-on experience with backend development or systems-style projects
nGood problem-solving and debugging skills, comfort reading code you didn't write
nAbility to work independently in a remote, fast-paced setting
nStrong interest in developer tools, compilers/parsers, program analysis, or AI agents
nCurrently pursuing or recently completed a degree in Computer Science or

📌 SDE Intern (Bengaluru)
🏢 Repowise
📍 Bengaluru