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Gurugram, India Apply for this role → Or write to [email protected] About Zstate As AI models become increasingly capable, the industry needs better ways to measure reasoning, reliability, and real-world performance. Zstate AI is building the evaluation and post-training infrastructure powering the next generation of AI systems. We create expert-driven benchmarks, reward signals, RL environments, and high-quality datasets that help frontier AI models become more capable, reliable, and trustworthy across diverse real-world domains.

Zstate AI is led by a founding team from IITs, IIMs, and DCE, bringing together deep technical and strategic expertise to build category-defining AI infrastructure. We are backed by Giraffe Studios, a venture studio focused on deep-tech startups founded by Himanshu Aggarwal (Co-founder & CEO, Aspiring Minds) and Mohit Tandon (Co-founder, Delhivery). As one of our earliest hires, you'll work directly with the founders to solve challenging engineering problems and help shape both the product and the company from day one.

What this role looks like You are one of the first engineers at Zstate AI. Our enterprise clients hand us real workflows that take too much expert time, and your job is to turn those workflows into agents that work. You will design and build multi-step agents that use tools, retrieve context, hold state, and complete the work end to end, from an early prototype to a production deployment the client actually relies on.

A day in the life Spend your mornings sketching agent architectures on a whiteboard or in a notebook: subagents, routing, handoffs, planning, and state management for long tasks.

Build those agents with LLMs, tool use, retrieval, and memory in LangChain, LangGraph, or whatever framework fits the problem best.

Write evaluation frameworks that let you iterate on prompts and architecture using LLM-as-judge and deterministic evaluators, so you can prove the agent is improving.





Integrate the agent with the client systems it needs to talk to: APIs, databases, vector stores, MCP, and other tool integrations.

Ship it to production, then set up observability, tracing, logging, and error analysis so you can watch it behave in the real world.

Sit with clients and domain experts, translate their workflow into a spec, and keep iterating as production feedback comes in.

Who you are 3-8 years of experience in backend or full-stack engineering, with a real track record of shipping production systems.

At least one year of hands-on AI engineering: building agents, LLM workflows, or similar.

Practical experience with LangChain, LangGraph, or similar frameworks, including tool use and multi-step reasoning.

A habit of using prompt engineering and evaluation frameworks to iterate on behaviour with real feedback.

Strong proficiency in Python and/or TypeScript, plus APIs, system design, and preferably cloud experience.

The instinct to own a project end to end, from architecture to a client using it in production.

High ownership, robust execution, and the tendency to improve systems without waiting to be asked. Extra credit Experience with RAG patterns, vector stores, and knowledge retrieval.

Experience with agent observability tooling like LangSmith and debugging agents in production.

Experience working directly with enterprise clients on technical scoping and delivery.

Exposure to RLHF, SFT, or post-training workflows. Why this matters Competitive compensation for the right candidate.

You will ship agentic systems that real enterprise clients use in production, not features that sit on a roadmap.

Early access to the techniques and frameworks behind the most advanced agentic systems in the world.

High ownership from day one: no ticket queues, no layers, direct impact.

A culture that rewards engineering and research depth and curiosity over credentials. If structured thinking, messy problems, and building agents that ship sounds interesting, send your resume and a short note on why this role interests you to [email protected] or [email protected].

📌 AI Engineer (Kolkata)
🏢 Zstate Ai
📍 Kolkata