Senior Software Engineer - C#/.Net

Archer Recruitment; Dublin; On-site; EUR 120,000 - 144,000; Full time

Job summary

Archer Recruitment is seeking a Senior Software Engineer in Ireland to design and build greenfield software within a large-scale AI transformation programme. You will work on enterprise-ready solutions, focusing on C#/.NET, APIs and microservices, with a strong emphasis on AI agents and data retrieval.

You will join a high-calibre team at the forefront of AI technology, contributing from concept through to production in a fast-paced environment that values ownership and impact.

Qualifications

• 10+ years' professional software engineering experience.
• Strong C# / .NET experience across modern .NET, APIs and distributed/microservice-based systems.
• 1–2 years' hands-on experience building AI agents, with 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.
• Collaborate with AI and engineering specialists to turn ideas into production solutions.

Skills

C# / .NET

AI agents

RAG pipelines

MCP

Distributed systems

Production-grade software

Tools

APIs

Microservices

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.