Engineering • Full-Time
Senior AI Agent Engineer (LangGraph / MCP)
Location: London, UK / Hybrid • Posted: August 2026
The Senior AI Agent Engineer at Esaholic designs, implements, and benchmarks production-grade autonomous multi-agent swarms. You will build deterministic state graphs using LangGraph, develop custom Model Context Protocol (MCP) servers, and enforce strict human-in-the-loop governance for enterprise clients.
Responsibilities
- Architect multi-agent orchestration frameworks using LangGraph, AutoGen, and custom Python state machines.
- Develop high-performance Model Context Protocol (MCP) servers connecting enterprise databases and tool APIs to LLMs.
- Implement deterministic guardrails using Zod/Pydantic schema enforcement to achieve 99%+ schema adherence.
- Benchmark agent latency, token consumption, and state recovery performance across production workloads.
Requirements
- 4+ years of Python software engineering experience in production environments.
- 2+ years of direct experience building LLM applications, RAG systems, or agentic workflows.
- Deep familiarity with vector databases (Qdrant, Pinecone) and graph databases (Neo4j).
- BSc or MSc in Computer Science, Software Engineering, or Machine Learning.
Apply for This Position
Send your CV and a link to your GitHub or published code repos directly to our engineering team:
careers@esaholic.com
Subject line: Application: Senior AI Agent Engineer — [Your Name]