Senior Software Engineer - C#/.Net

Archer Recruitment

Dublin

On-site

EUR 130,000 - 170,000

Full time

29 hours ago
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Job summary

Archer Recruitment is seeking a Senior Software Engineer to design and build scalable software within a large AI transformation programme in Ireland. You will contribute to greenfield projects and integrate AI agents into enterprise solutions, working with RAG pipelines and MCP-based tools.

The role requires strong hands-on C#/.NET skills, API/microservice experience, and a track record of delivering production-grade software in fast-paced environments.

Qualifications

  • 10+ years' professional software engineering experience with hands-on development.
  • Strong C# / .NET experience across modern .NET, APIs and distributed systems.
  • 1-2 years' hands-on experience building AI agents, MCP and RAG.

Responsibilities

  • Design and build scalable, production-ready software solutions using C# and .NET.
  • Work on greenfield applications and services within a large-scale AI transformation programme.
  • Build and integrate AI agents into enterprise software solutions.
  • Develop and work with RAG pipelines and AI-powered data retrieval.
  • Build and integrate MCP-based tools and services.
  • Work closely with AI and engineering specialists to turn ideas and prototypes into robust production solutions.

Skills

C# / .NET
APIs & Microservices
AI agents MCP RAG
Senior level

Job description

Senior Software Engineer | C# / .NET | €600 | 12 month contract

  • Build greenfield solutions as part of a major AI transformation programme
  • Join a high-calibre engineering team working on next-generation technology
  • Play a key role in a multi-year programme with real scope to make an impact

A leading global organisation is investing heavily in a multi-year technology and AI transformation programme, building new capabilities from the ground up rather than simply modernising what already exists.

This is an opportunity for a Senior Software Engineer to join a highly-calibre, specialised team focused on designing and building new solutions across software engineering and AI. You’ll work in a fast-paced environment where engineers are given ownership, expected to solve complex problems, and encouraged to take ideas from concept through to production.

With a strong focus on Agentic AI, RAG and MCP, you’ll be working at the intersection of traditional software engineering and emerging AI technologies - building robust, scalable solutions that can operate in a real-world enterprise environment.

Why You’ll Love This Role
  • Greenfield from the ground up - design and build new solutions rather than simply maintaining legacy systems.
  • AI at the heart of the programme - work directly with agents, RAG and MCP as the organisation develops its next generation of AI capability.
  • Highly-calibre team - work alongside experienced engineers and AI specialists with a strong focus on engineering excellence.
  • Multi-year programme - join at an early stage with significant runway and the opportunity to shape what comes next.
  • Fast-paced environment - solve challenging problems, move quickly and see your work make it into production.
  • Real ownership - you'll be trusted to take responsibility for solutions from design through to delivery.
What You’ll Do
  • Design and build scalable, production-ready software solutions using C# and .NET.
  • Work on greenfield applications and services within a large-scale AI transformation programme.
  • Build and integrate AI agents into enterprise software solutions.
  • Develop and work with RAG pipelines and AI-powered data retrieval.
  • Build and integrate MCP-based tools and services.
  • Work closely with AI and engineering specialists to turn ideas and prototypes into robust production solutions.
Key Requirements
  • 10+ years' professional software engineering experience, with strong hands-on development experience.
  • Strong C# / .NET experience, ideally across modern .NET, APIs and distributed/microservice-based systems.
  • 1-2 years' hands-on experience building AI agents, with practical experience working with MCP and RAG.
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