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.