Senior Backend & Agentic AI Engineer

Archer Recruitment Pte Ltd; Dublin; On-site; EUR 111,000 - 120,000; Full time

Job summary

Archer Recruitment Pte Ltd in Ireland seeks a backend engineer who loves building agentic workflows and MCP servers to connect AI models with enterprise financial systems.

You will write production-grade code in C#/.NET or Python, architect MCP-compliant tools, and design multi-agent orchestration with LangGraph and LangChain, delivering reliable RAG pipelines for high-stakes data.

Qualifications

• Strong backend engineering experience with C#/.NET or Python.
• Hands-on with agentic AI workflows and multi-agent systems.
• Experience designing or implementing MCP (Model Context Protocol) servers and tool integrations.
• Solid experience with LangGraph, LangChain, and enterprise RAG solutions.

Responsibilities

• Write robust, production-grade backend code in C# / .NET or Python.
• Architect and build MCP-compliant tools to connect agents to financial enterprise systems.
• Design multi-agent workflows and orchestration using LangGraph, LangChain, and stateful agent frameworks.
• Build reliable RAG architectures that operate over financial datasets.
• Ensure high throughput, low latency, and deterministic output quality across all agentic integrations.

Skills

C# / .NET

Python

Backend architecture

MCP servers

LangGraph

LangChain

RAG pipelines

Tools

LangGraph

LangChain

RAG pipelines

Job description

• €600-€650 daily | 12-month contract with extension potential
• Financial Services AI Modernisation | Enterprise Scale

A top-tier Financial Services institution is accelerating its core technology transformation. Instead of relying on basic off-the-shelf AI wrappers, they are building a robust, agent-driven engineering backbone from scratch.

They are excited to bring on a backend developer who loves diving deep into the code-building Model Context Protocol (MCP) servers, orchestrating complex agentic workflows, and tying AI models directly into enterprise financial infrastructure.

If you’re a backend engineer who takes genuine pride in writing clean, high-performance code and building agentic workflows that actually work in production, this is for you.

Why You’ll Love This Role

• Code-first culture: Spend your day writing code, designing backend services, and crafting custom MCP tools.
• Production-grade Agentic AI: Move past basic LLM calls into multi-agent systems, deterministic tool use, and reliable RAG pipelines.
• High-impact Financial Engineering: Solve real-world data and execution challenges across complex financial domain logic.
• Ownership & Autonomy: Design greenfield services with a strong engineering team that values clean architecture over slide decks.

What You’ll Do

• Write robust, production-grade backend code in C# / .NET or Python.
• Architect and build MCP-compliant tools and services to connect agents to financial enterprise systems.
• Design multi-agent workflows and orchestration using LangGraph, LangChain, and stateful agent frameworks.
• Build reliable RAG architectures that operate seamlessly over strict financial datasets.
• Ensure high throughput, low latency, and deterministic output quality across all agentic integrations.

What You’ll Bring

• Strong commercial backend engineering foundations (C# / .NET or Python).
• Proven hands-on experience building Agentic AI workflows and intelligent multi-agent systems.
• Practical experience designing or implementing MCP (Model Context Protocol) servers and tool integrations.
• Solid experience with LangGraph, LangChain, and enterprise RAG solutions.
• Pride in your craft - a builder who values sound software design, automated testing, and execution.