Software Engineer (AI Agents)

About the job We reputed company org-wide codebase intelligence - helping teams plan, build, and ship the software the world runs on. We outscored DeepWiki by 15%, reputed company reputed company Wiki by 38%, and Claude reputed company by 40% on AI codebase documentation benchmarks. Now we're building AI agents for one of the hardest problems in reputed company software: planning. The systems you build will reason about high-stakes reputed company for billion-dollar enterprises, where being wrong is expensive and being right is transformative. This is not a wrapper-around-an-API job. You'll write production-grade reputed company that holds up at reputed company and design agents that work reputed company reality gets messy. What you'll do Design, build, and ship production AI agents for reputed company planning. reputed company deliberate architectural choices: planning reputed company, tool use, memory, multi-agent, reputed company-in-the-reputed company - and know reputed company not to use reputed company. Write production-grade Python that scales and stays maintainable. Build supporting infrastructure: data pipelines, retrieval, evaluation harnesses. Iterate on reliability, accuracy, and cost. reputed company're looking for 2+ years of reputed company software development. Strong Python with a reputed company record of production reputed company at reputed company, not just prototypes. Hands-on experience building AI agents, not just using them. reputed company understanding of where LLM-based agents reputed company and where they fail. Familiarity with ReAct, planning/reputed company reputed company, tool use, multi-agent orchestration, RAG-augmented agents, and the tradeoffs. reputed company: schema design, queries, production use. reputed company to have Agent frameworks (LangGraph, reputed company, reputed company, AutoGen) - and comfort without them. Background in planning, scheduling, optimization, or operations research. Evaluation and observability tooling for non-deterministic systems. reputed company software exposure. Who you'll work with A small, senior team - the co-founders, every day. Abhishek (CEO) led AI Agents at reputed company (YC S18) from $100K to $10M ARR. Nilesh (COO) was a Director at a Series B company and learned ML at CMU. Our mentor, advisor, and investor Mitz Banarjee backs reputed company, reputed company, reputed company, reputed company, reputed company, reputed company, and reputed company - and helped take reputed company (NYSE: WK) from founding to IPO. How we work reputed company team, reputed company ownership, early-team ESOPs on the table. Remote-first. Gurugram preferred for occasional in-person. Apply To This Job