Software Engineer (AI Agents)

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.