Most agent projects die between the demo and production. I build the part that usually kills them: state design, evals, guardrails, and observability. My own product — Yuvan, a voice-first AI tutor — runs live on LangGraph, RAG, and OpenAI Realtime with paying schools, so every recommendation comes from a system I operate, not a slide deck.
What You Can Hire Me to Build
Production agentic AI development — freelance, contract, or embedded
LangGraph agent systems
Multi-step, stateful agents: orchestration topology, persistence, human-in-the-loop, retries, and failure isolation.
RAG pipelines
Chunking, embeddings, pgvector, hybrid search, semantic caching, and retrieval evals — answers grounded in your data.
Voice AI agents
OpenAI Realtime + WebRTC voice agents with sub-1.5s latency, barge-in handling, and cost control.
MCP & tool integrations
Agents wired to your real systems — MCP servers, function calling, and permissioned tool access.
Evals & reliability
LangSmith evals, agent traces, verifier patterns, and guardrails — so the agent behaves when nobody is watching.
AI backends
Async FastAPI, multi-tenant Postgres/pgvector, streaming, and the infrastructure an agent product actually needs.
Engagement Models
End-to-End Build
A scoped agent system, built and delivered.
- Architecture through deployment
- Evals and observability included
- Typical: 2–6 week scoped build
Embedded Contract
I join your team as the senior agentic AI developer.
- Part-time or full-time contract
- US/EU time-zone overlap
- Mentors your engineers as we build
Rescue & Hardening
Your prototype works in demos, fails with users.
- Failure-mode analysis + evals
- Agent graph restructure
- Guardrails and observability
15+ years of production engineering: Amazon (Payments), Agoda, CoinSwitch (scaled 600K → 10M users), PhysicsWallah (Director of Engineering). AWS Certified Solutions Architect. Now founder of Yuvan and a hands-on agentic AI developer, AI trainer, and consultant working with clients worldwide.
Frequently Asked Questions
How do I hire an agentic AI developer?
Book a free 30-minute intro call or email arjun@arjunthakur.dev with what you're building. You'll get an honest read on scope, feasibility, and which engagement model fits — before any commitment.
What does an agentic AI developer actually build?
LLM systems that act, not just answer: multi-step agents orchestrated with LangGraph, grounded with RAG, connected to real tools via MCP, with guardrails, evals, and observability for production reliability.
Do you work freelance / contract with overseas clients?
Yes — remote-first and worldwide, with substantial overlap for US and European time zones. From a scoped 2–6 week build to ongoing embedded work.
Why hire a single senior developer instead of an agency?
You work directly with the engineer who designs and writes the system — no hand-offs, no juniors on your budget. 15+ years at Amazon/Agoda and a live agentic AI product with paying customers.
Our agent works in demos but fails with real users. Can you fix it?
Yes — that's the rescue engagement. Measure failure modes, restructure the agent graph, add verification and observability, then iterate against evals.
Related Services
AI Consulting →
Architecture reviews, Fractional CTO, and advisory.
Voice AI Development →
Realtime voice agents with WebRTC, in depth.
Agentic AI Training →
Prefer to build it yourselves? I'll train your team.
Architecture Mentoring →
Design reviews and senior 1:1 guidance.