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    Job · 15188321

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    Software Engineer (AI Agents)

    Remote Start · Gurugram · onsite · Posted 50d ago

    Not disclosed2–4 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    Role- Software Engineer (AI Agents)

    Location- Gurugram/ Remote

    About the job

    We form org-wide codebase intelligence - helping teams plan, build, and ship the software

    the world runs on. We outscored DeepWiki by 15%, Google Code Wiki by 38%, and Claude

    Code 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-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 code that holds up at

    scale 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 without

    them.

    ● Background in planning, scheduling, optimization, or operations research.

    ● Evaluation and observability tooling for non-deterministic systems.

    ● Enterprise software exposure.

    Who you'll work with

    A small, senior team - the co-founders, every day. Abhishek (CEO) led AI Agents at Leena

    AI (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 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.

    Sourced from foundit

    Skills

    ReAct planningMulti-agent Orchestrationevaluation harnessesPythonMongoDBAgentic AiData PipelineRAG-augmented agentsreflection loops

    Software Engineer (AI Agents) · waiting for your command