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

Archer · Recruitment agency
Contract•Back-end development•Dublin, Ireland · Remote within Ireland · Hybrid
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At a glance

Employment type
Contract
Workplace
Hybrid

Technologies & skills

Primary technologies

.NETPHPC#

What you'll be doing

Join a high-calibre engineering team as a Senior Software Engineer in Dublin, building greenfield solutions as part of a major AI transformation programme. You'll design and build scalable software using C#/.NET, focusing on AI agents, RAG, and MCP in a fast-paced, ownership-driven environment.

  • 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

Must-have

  • 10+ years’ professional software engineering experience
  • 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
  • Practical experience working with MCP and RAG

Experience: 10+ years

Role signals

Technical focus
back-end development
Architecture / system design
Indicated in the listing
Hands-on vs management
Hands-on

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Full job description

Senior Software Engineer | C# / .NET

  • 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.

For more information, contact

For additional opportunities, visit the Archer Recruitment website.

Interview prep pack

Grounded in this listing. Use it to prepare examples before you apply.

Your interview focus

Based on this listing, the role is for a Senior Software Engineer with deep C#/.NET expertise to design and build greenfield, production-ready solutions as part of a major AI transformation programme, with a strong focus on integrating AI agents, RAG, and MCP technologies.

  • Hands-on C#/.NET expertise·Medium
  • AI agent integration (RAG, MCP)·High
  • Greenfield architecture and delivery·High
  • Enterprise-scale, production-ready systems·High

Only have 30 minutes?

Follow a focused preparation plan based on this job.

Start 30-minute prep

Your 30-minute plan

  1. Review Modern .NET and C# Patterns

    0–7 min

    Refresh your knowledge of current .NET frameworks, microservices, and distributed system best practices.

  2. Prepare AI Agent Integration Examples

    7–14 min

    Select and outline specific projects where you built or integrated AI agents, focusing on RAG and MCP.

  3. Summarize Greenfield Project Experience

    14–20 min

    Draft concise stories highlighting your ownership and delivery of greenfield solutions from concept to production.

  4. Reflect on Team Collaboration

    20–25 min

    Identify examples of working with high-calibre teams and AI specialists, emphasizing communication and problem-solving.

  5. Draft Role-Specific Questions

    25–30 min

    Prepare thoughtful questions about the AI programme, team structure, and technical challenges to ask during the interview.

Likely questions

, 6 items

Priority reflects how strongly this topic is emphasised in the job listing, not whether it will be asked.

Talking points

, 5 items

  • Designing Scalable .NET Solutions

    Demonstrate your ability to architect and implement robust, maintainable systems using modern .NET, especially in distributed or microservice environments.

  • Building and Integrating AI Agents

    Showcase practical experience in developing and deploying AI agents, particularly with RAG and MCP, to highlight your fit for the AI transformation focus.

  • Greenfield Project Delivery

    Prepare examples of taking projects from concept to production, emphasizing ownership, problem-solving, and working in fast-paced, high-calibre teams.

  • Collaboration with AI and Engineering Specialists

    Illustrate your ability to work cross-functionally, turning prototypes and ideas into robust, production-ready solutions.

  • API and Microservices Development

    Demonstrate experience building APIs and distributed systems, as these are core to the role’s technical requirements.

What to research

, 4 items

  • Modern .NET and C# Best Practices

    Review recent advancements in .NET, including APIs, microservices, and distributed system patterns.

  • AI Agent Technologies: RAG and MCP

    Refresh your knowledge and hands-on experience with Retrieval-Augmented Generation (RAG) and Multi-Component Pipelines (MCP) in enterprise contexts.

  • Greenfield Project Lifecycle

    Prepare examples of taking projects from concept to production, focusing on ownership, architecture, and delivery.

  • Collaboration in High-Calibre Teams

    Reflect on experiences working with specialized engineering and AI teams to deliver complex solutions.

Questions to ask

, 6 items
  1. What are the main technical challenges the team is currently facing in the AI transformation programme?

    Why ask this? Shows your interest in the real-world context and readiness to contribute solutions.

  2. How does the team approach the integration of AI agents, RAG, and MCP into existing or new systems?

    Why ask this? Clarifies the technical landscape and your potential role in AI integration.

  3. What does success look like for this role in the first 6–12 months?

    Why ask this? Helps you understand expectations and how your impact will be measured.

  4. How is ownership and decision-making distributed within the engineering team?

    Why ask this? Assesses the level of autonomy and responsibility you can expect.

  5. What opportunities are there for collaboration with AI specialists and other technical teams?

    Why ask this? Demonstrates your interest in cross-functional work and learning.

  6. How does the team ensure code quality and maintainability in a fast-paced, greenfield environment?

    Why ask this? Shows your commitment to engineering excellence and sustainable development.

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Apply NowApply before: 8 Oct 2026