Senior Software Development Enginee...

WORK MODE: Hybrid (3 days WFO)
LOCATION: Bangalore
EXPERIENCE: 5+ YOE (minimum of 2–3 years in production LLM/agent systems)

About the role
This is a senior individual contributor role (~70% solo ownership, ~30% collaborative on high-blast-radius problems). You will own and extend production backend systems while also driving greenfield builds across the Recipe Engine, cloud infrastructure, and AI/agentic systems. You report directly to the Software Engineering Manager and join a backend team of four within a 12-person engineering org.

Core responsibilities
Design and architect complex features for autonomy, data logging, and reliability — HLDs and LLDs expected from day one.
Own and extend the core backend stack powering autonomous operations at scale.
Build and maintain agentic workflows for recipe creation, feedback analysis, and internal tooling.
Build code-intelligence tooling for internal agents: AST-based chunking, LLM-driven graph extraction, hybrid retrieval (BM25 + graph + rerank).
Improve retrieval accuracy through chunking, embeddings, and a benchmark-driven, eval-first approach.

Required skills
Strong system design fundamentals: HLD, LLD, SOLID principles — tested directly in the interview loop.
Proven experience owning production LLM/agent systems (RAG pipelines, agent loops, tool calling/MCP) — not just API wrappers.
Hands-on with the retrieval data layer: vector databases, chunking strategies, embeddings, hybrid retrieval.
Experience tuning and improving existing RAG/retrieval pipelines; having built from scratch is a plus, not a gate.
Familiarity with AWS (primary stack).
Nice to have: Experience with knowledge graphs or graph-based retrieval (Neo4j, or equivalent).
Hands-on experience with code-intelligence/retrieval frameworks (Cognee, LangChain, LlamaIndex, Haystack, or similar).
Prior exposure to AST parsing or code-aware chunking strategies.