Hire LangChain Developer — Agents That Do the Work
When you hire a LangChain developer, you should get agents that complete tasks — not demos that loop forever and burn your API budget. I build LangChain and LlamaIndex agents with strict tool contracts, grounded RAG pipelines, and LangSmith tracing on every run. Each agent ships with guardrails and cost limits.
View AI Engineer CV ↗ PDF Word
I'm Omer Muneer Qazi, a Dubai-based Fractional CTO & Solutions Architect with 15+ years of experience and 100+ projects delivered across 6 countries. I build the agents myself and hand over traced, documented systems — need sharper prompts? See hire prompt engineer.
Agents built as production systems
LangChain agent systems
Multi-step agents built on LangChain with explicit tool contracts and hard step limits — they finish tasks and report back instead of looping until your API budget screams.
RAG pipelines
Retrieval pipelines with chunking tuned to your documents, hybrid search, and reranking — evaluated on real questions, so agents answer from your knowledge, not their training data.
Tool use & integrations
Custom tools connecting agents to your APIs, databases, and SaaS — with validation on every call, so the agent can’t corrupt production data by improvising dangerously.
LangSmith tracing & evals
Full tracing on every agent run with eval suites scoring task success — debugging a failed run takes minutes, not painful archaeology through raw server logs.
LlamaIndex knowledge systems
Document ingestion and indexing with LlamaIndex for complex corpora — PDFs, wikis, and support tickets become queryable knowledge your agents actually use, with source citations on every answer.
Agent guardrails & cost controls
Step budgets, tool allowlists, and human-in-the-loop checkpoints for risky actions — agents stay useful and auditable without ever becoming expensive liabilities that surprise finance at month-end.
From idea to working agent
A structured engagement with no surprises — you’ll always know what’s happening and what’s next.
Use-case scoping
We pick one agent task with clear success criteria and measurable ROI — agents fail when the job is vague, so vagueness gets killed on day one.
Tool & data wiring
Tools and RAG pipelines are built and tested in isolation first — the agent only assembles once every component proves itself reliable alone.
Agent build & eval
The agent is assembled with tracing from the first run, then hammered with eval suites until task success rates hit the agreed target.
Production hardening
Guardrails, cost limits, and monitoring go live with the agent — plus runbooks so your team can debug and extend it confidently.
Why hire through a Fractional CTO
Agent projects fail when the framework does the demo and nobody engineers the tools, evals, or guardrails. As a Fractional CTO, I build agents as production systems — traced, tested, and cost-controlled — the same discipline behind $25M+ in client revenue enabled across 100+ projects.
You get 15+ years of AI engineering across 6 countries and ex-teams at Phaedra Solutions, Integriti, and Nabidios — senior judgment that ships agents which work, without a full-time hire.
LangChain developer FAQs
Prompt engineer vs LangChain developer — which do I need?
Need better LLM behavior — tone, accuracy, safety? Hire the prompt engineer. Need agents that use tools, search data, and complete workflows? Hire the LangChain developer. Serious products eventually need both.
How do you stop agents from looping or overspending?
Hard step limits, tool allowlists, and per-run cost budgets kill runaway behavior by design. LangSmith tracing shows exactly where tokens go, so waste gets engineered out.
Can agents work with our internal data?
Yes — RAG pipelines index your documents, wikis, and tickets so agents answer from your knowledge with citations. Data stays in your infrastructure; nothing trains public models.
How long until an agent is in production?
A focused single-task agent ships in 6-8 weeks, including tools, evals, and guardrails. Multi-agent systems take longer — scoping in week one sets the honest timeline.
Will our engineers be able to maintain the agents?
Yes — handover includes traced code, eval suites, and runbooks, plus training on the framework. Your team extends tools and prompts confidently after I step back.
Hire a LangChain developer who ships
Describe the workflow you want automated and I’ll scope an agent system with honest timelines and cost controls. Dubai-based, working worldwide.
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