Senior Software Engineer | Agentic AI| €650/Daily

Archer · Recruitment agency
Contract•Full-stack•Dublin, Ireland · Remote within Ireland · Hybrid
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At a glance

Employment type
Contract
Workplace
Hybrid
Category
Full-stack

Technologies & skills

Primary technologies

Python.NETPHPC#

Other technical skills

LangChain

What you'll be doing

Senior Software Engineer (Contract, Hybrid, Dublin) to design and build next-generation AI solutions. Work hands-on with Agentic AI, LangGraph, LangChain, and RAG in a greenfield, high-impact, multi-year transformation. Collaborate with experienced software and AI specialists.

  • Design and build scalable software solutions using C#/.NET or Python
  • Build and integrate AI agents into production software solutions
  • Develop RAG pipelines and AI-powered retrieval solutions
  • Work with LangGraph and LangChain to develop agentic workflows

Key requirements

Must-have

  • Strong C#/.NET experience preferred or strong Python experience
  • 1–2+ years’ hands-on experience building AI agents or working with Agentic AI
  • Practical experience with LangGraph, LangChain, and RAG

Experience: Senior

Role signals

Technical focus
AI agents, software engineering, agentic workflows
Architecture / system design
Indicated in the listing
Hands-on vs management
Hands-on

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Full job description

Senior Software Engineer | Agentic AI| €650/Daily

  • Build next-generation AI solutions

  • Work hands-on with Agentic AI

  • 12-month contract with long-term potential

This is an opportunity for a Senior Software Engineer to join a high-calibre engineering team and play a key role in designing and building new software solutions.

The organisation is investing heavily in a multi-year technology and AI transformation programme, building new capabilities from the ground up.

You’ll work hands-on with Agentic AI, AI agents, LangGraph, LangChain and RAG, combining strong software engineering fundamentals with emerging AI technologies to take solutions from concept through to production.

Why You’ll Love This Role

  • Greenfield engineering — design and build new solutions from the ground up.

  • Agentic AI focus — build real-world AI agents using LangGraph, LangChain and RAG.

  • High-impact programme — work on a major, multi-year transformation.

  • Strong engineering team — collaborate with experienced software and AI specialists.

What You’ll Do

  • Design and build scalable software solutions using C# / .NET or Python.

  • Build and integrate AI agents into production software solutions.

  • Develop RAG pipelines and AI-powered retrieval solutions.

  • Work with LangGraph and LangChain to develop agentic workflows.

Key Requirements

  • Strong C# / .NET experience preferred; strong Python engineers also considered.

  • 1–2+ years’ hands-on experience building AI agents or working with Agentic AI.

  • Practical experience with LangGraph, LangChain and RAG.

For more information, contact [email protected]

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 to design and build greenfield AI solutions using Agentic AI, LangGraph, LangChain, and RAG, with a strong emphasis on hands-on engineering in either C#/.NET or Python within a high-calibre team.

  • Hands-on AI agent development·Medium
  • LangGraph/LangChain proficiency·High
  • Full-stack engineering (C#/.NET or Python)·High
  • Greenfield solution architecture·High

Only have 30 minutes?

Follow a focused preparation plan based on this job.

Start 30-minute prep

Your 30-minute plan

  1. Review Recent Agentic AI Projects

    0–7 min

    List and summarize your most relevant projects involving Agentic AI, focusing on your role, technologies used, and outcomes.

  2. Refresh Knowledge of LangGraph, LangChain, and RAG

    7–14 min

    Revisit documentation and your own code samples to ensure you can discuss technical details and best practices.

  3. Prepare STAR Stories for Greenfield Engineering

    14–20 min

    Draft concise examples of how you have taken projects from concept to production, emphasizing problem-solving and impact.

  4. Review Scalable Architecture Principles in C#/.NET or Python

    20–25 min

    Be ready to discuss your approach to designing robust, scalable systems, including specific patterns and trade-offs.

  5. Draft Role-Specific Questions

    25–30 min

    Prepare thoughtful questions about the team's challenges, technology choices, and success metrics 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

  • Building AI Agents with Agentic AI

    Demonstrate your direct experience designing, developing, and deploying AI agents, especially using Agentic AI frameworks.

  • Hands-on Experience with LangGraph and LangChain

    Showcase your ability to use these specific tools to create agentic workflows and integrate them into production systems.

  • Developing RAG Pipelines

    Explain your approach to building retrieval-augmented generation solutions, including technical challenges and outcomes.

  • Designing Scalable Software Solutions

    Highlight your experience architecting and implementing robust, scalable systems in C#/.NET or Python.

  • Greenfield Project Delivery

    Provide examples of taking projects from concept to production, emphasizing your role in new solution development.

What to research

, 4 items

  • Agentic AI Frameworks

    Review your hands-on experience with Agentic AI, especially projects involving AI agent development and deployment.

  • LangGraph and LangChain

    Refresh your knowledge and practical use cases of LangGraph and LangChain, focusing on how you have used them to build agentic workflows.

  • RAG Pipelines

    Prepare to discuss your experience designing and implementing retrieval-augmented generation pipelines in production environments.

  • Scalable Software Architecture

    Be ready to explain your approach to designing scalable, maintainable solutions in C#/.NET or Python.

Questions to ask

, 6 items
  1. What are the main technical challenges the team is currently facing with Agentic AI or AI agent integration?

    Why ask this? To understand the immediate priorities and where your expertise can add value.

  2. How does the team approach greenfield solution design and what is the typical development lifecycle?

    Why ask this? To clarify expectations around project delivery and collaboration.

  3. What is the balance between C#/.NET and Python in your current stack for AI solutions?

    Why ask this? To assess which language skills will be most relevant and where you can contribute most.

  4. How does the team stay updated with emerging AI technologies and frameworks?

    Why ask this? To gauge the team's commitment to innovation and professional development.

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

    Why ask this? To align your efforts with the team's goals and expectations.

  6. How is collaboration structured between software engineers and AI specialists?

    Why ask this? To understand team dynamics and how cross-functional work is managed.

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Apply NowApply before: 10 Oct 2026