Greenfield AI Engineer: Agents, LLMs & RAG

Archer Recruitment; Dublin; On-site; EUR 90,000 - 130,000; Full time

Job summary

Archer Recruitment is partnering with a leading AI team in Ireland to build greenfield AI capabilities from the ground up. You will join a high-calibre group of AI engineers, data scientists and tech leaders, taking ideas from concept to production on agentic AI, LLMs, RAG and integrations.

You’ll influence technical direction, work hands-on on agents and pipelines, and shape the foundations of an ambitious AI function that will scale over time.

Qualifications

• 5+ years in AI, data science or software engineering.
• 2+ years hands-on development with large language models (LLMs).
• Proven experience building RAG pipelines and production AI agents.
• Strong Python skills and experience with agent frameworks or SDKs.
• Experience with MCP development and integration.
• Understanding of LLM evaluation, metrics and guardrails.

Responsibilities

• Build and ship AI agents and LLM-powered solutions from concept through to production.
• Develop RAG pipelines, tools and integrations across data sources.
• Design evaluation approaches to improve reliability and measurability of outputs.
• Build and integrate MCP-based tools and services to extend agent capabilities.
• Collaborate with data scientists and engineers to turn concepts into scalable production solutions.

Skills

AI

Data Science

Software Engineering

LLM development

RAG systems

Production AI agents

Python

Agent frameworks/SDKs

MCP development

LLM evaluation & guardrails

Job description

Archer Recruitment is partnering with a leading AI team in Ireland to build greenfield AI capabilities from the ground up. You will join a high-calibre group of AI engineers, data scientists and tech leaders, taking ideas from concept to production on agentic AI, LLMs, RAG and integrations.

You’ll influence technical direction, work hands-on on agents and pipelines, and shape the foundations of an ambitious AI function that will scale over time.