Software Engineer (AI Agents)

Role- Software Engineer (AI Agents)Location- Gurugram/ RemoteAbout the jobWe form org-wide codebase intelligence - helping teams plan, build, and ship the softwarethe world runs on. We outscored DeepWiki by 15%, Google Code Wiki by 38%, and ClaudeCode by 40% on AI codebase documentation benchmarks.Now we're building AI agents for one of the hardest problems in enterprise software:planning. The systems you build will reason about high-stakes decisions for billion-dollarenterprises, where being wrong is expensive and being right is transformative.This is not a wrapper-around-an-API job. You'll write production-grade code that holds up atscale and design agents that work when reality gets messy.What you'll do● Design, build, and ship production AI agents for enterprise planning.● Make deliberate architectural choices: planning loops, tool use, memory, multi-agent,human-in-the-loop - and know when not to use each.● Write production-grade Python that scales and stays maintainable.● Build supporting infrastructure: data pipelines, retrieval, evaluation harnesses.● Iterate on reliability, accuracy, and cost.What we're looking for● 2+ years of professional software development.● Strong Python with a track record of production code at scale, not just prototypes.● Hands-on experience building AI agents, not just using them.● Real understanding of where LLM-based agents excel and where they fail.● Familiarity with ReAct, planning/reflection loops, tool use, multi-agent orchestration,RAG-augmented agents, and the tradeoffs.● MongoDB: schema design, queries, production use.Nice to have● Agent frameworks (LangGraph, LlamaIndex, CrewAI, AutoGen) - and comfort withoutthem.● Background in planning, scheduling, optimization, or operations research.● Evaluation and observability tooling for non-deterministic systems.● Enterprise software exposure.Who you'll work withA small, senior team - the co-founders, every day. Abhishek (CEO) led AI Agents at LeenaAI (YC S18) from $100K to $10M ARR. Nilesh (COO) was a Director at a Series B companyand learned ML at CMU. Our mentor, advisor, and investor Mitz Banarjee backs Anthropic,SpaceX, xAI, Perplexity, Groq, Cerebras, and Figure - and helped take Workiva (NYSE: WK)from founding to IPO.How we work● Core team, real ownership, early-team ESOPs on the table.● Remote-first. Gurugram preferred for occasional in-person.