Agentic AI & Backend Engineer
Summary
Hands-on backend engineer at a fast-growing Dublin startup building agentic AI: custom MCP integrations, LangGraph/LangChain agent workflows, and production RAG pipelines. Strong Python or C#/.NET skills required; 12-month contract paying up to €600 per day.
Agentic AI & Backend Engineer | Startup | €600 Daily
- 100% hands-on building — write backend code, hack on MCP, deploy autonomous workflows
- Fast-paced, high-growth startup environment
- Up to €600 daily | 12-month contract
If your idea of a great workday is shipping clean backend services, building custom tools via MCP, and watching autonomous agents solve real problems in real time—welcome home.
A fast-moving, high-growth startup is expanding its engineering core. They aren't interested in theoretical AI or endless strategic alignment meetings. They are looking to bring in a backend builder who takes pride in crafting well-architected systems and gets excited about pushing the boundaries of Agentic AI.
You’ll be joining an elite engineering team where speed, clean backend fundamentals, and practical AI execution meet.
Why You’ll Love This Role
- Zero fluff, pure engineering: Build every day. Less process, more shipping.
- Next-gen tech stack: Get deep into Model Context Protocol (MCP), agent orchestration, and state-of-the-art tooling.
- Greenfield startup energy: High agility, direct impact, and total ownership over what you build.
- Proud builders only: Work with engineers who care about code quality, system design, and elegant problem-solving.
What You’ll Do
- Design and implement custom MCP (Model Context Protocol) integrations to expand agent tool capabilities.
- Build end-to-end agentic workflows using LangGraph and LangChain to solve complex task automation.
- Construct robust RAG pipelines that bring contextual memory and enterprise data to AI agents.
- Iterate rapidly: prototype new agent capabilities in the morning, harden them for production in the afternoon.
What You’ll Bring
- Strong backend development (Python or C# / .NET)
- Hands-on experience building and deploying Agentic AI solutions
- Direct working knowledge of MCP (Model Context Protocol) and tool-calling paradigms.
- Solid grounding in LangGraph, LangChain, and RAG architectures.
- A hacker mentality — you take pride in putting working code into production