We are seeking a motivated, early-career Associate AI Engineer to help build AI solutions that support our Health Economics and HTA Team.

Working under the guidance of senior engineers, you will contribute to turning validated prototypes into production-grade AI tools, support the development of new prototypes with delivery teams, and help maintain the AI tools already in use.

The role offers hands-on experience across the full lifecycle of AI solutions, from retrieval and data extraction to drafting and quality control, applied to deliverables such as systematic literature reviews and evidence synthesis reports.

Responsibilities

Production Solutions

Rebuild validated prototypes as production agents on our enterprise AI development platform.
Build reusable pipeline modules (retrieval, screening, data extraction, drafting and quality control) that can be combined into deliverable-specific agents.
Write tests and evaluation harnesses and follow enterprise engineering standards.

Prototyping

Build and refine AI workflows together with delivery teams.
Run pilots on live projects and measure the time saved.

Support

Handle routine runs and change requests for AI tools already in use.
Package applications for deployment.

Ways of Working

Work in Agile sprints, managing the backlog and tickets in Jira.
Raise merge requests for all changes and act on review feedback before anything ships.

Qualifications, Experience, Technical and Personal Skills

Essential Qualifications

Bachelor's degree in Computer Science, Computer Engineering, Electrical and Computer Engineering, Software Engineering, Informatics, Information Technology or Data Science.
Master's degree in Artificial Intelligence, Machine Learning or Data Science is preferred.

Essential Skills, Knowledge and Personal Behaviors

3-4 years of industry experience, including 2-3 years in AI/ML-related roles.
Advanced Python programming with strong software engineering practice (Git, CI/CD, unit, integration and end-to-end testing, e.g. pytest), including building and consuming REST APIs (e.g. FastAPI).
Hands-on experience building LLM applications: RAG (embeddings, vector stores, chunking, hybrid search) Tool calling and agent workflows Using LLM APIs (e.g. Azure OpenAI, Anthropic, AWS Bedrock).
Experience in natural language processing and information extraction from unstructured documents (e.g. entity extraction, text classification) beyond LLM prompting.
Working with relational databases and SQL (e.g. PostgreSQL), including data modelling and query optimization.
Experience with workflow automation (e.g. Python scripting, scheduled jobs, Power Automate).
Hands-on use of agentic AI tools for development and day-to-day work (e.g. GitHub Copilot, Cursor, Claude Code, Claude Cowork).
Exposure to Agile delivery (sprints, Jira) with merge-request-based code review.
Fluent English and strong technical writing and documentation skills.
Excellent communication skills and ability to convey technical topics to business stakeholders and subject-matter experts.
Excellent analytical and problem-solving skills, strong attention to detail and the ability to learn new tools and domains quickly.
Good team-based interpersonal skills but also an ability to work independently, take ownership of deliverables and manage time effectively.

Benefits

The potential base pay range for this role, when annualized, is €31,200.00 - €46,800.00.

Description