Applied AI Research Fellow — LLM Systems & RAG Engineer

The University of Salford; Greater Manchester; On-site; GBP 42,000 - 52,000; Full time

Benefits offered by this job

Competitive salary

Excellent pension scheme

Flexible working

Job summary

The University of Salford seeks a Research Fellow (Technical Delivery) to build AI systems at the core of the FOUR4ALL Horizon Europe project focused on reducing working time. You will design, implement, and evaluate a bounded conversational AI agent and a retrieval-augmented evidence assistant in Python as part of a multidisciplinary team.

This hands-on role emphasizes selecting models, validating workflows, and delivering reliable AI applications while complying with EU AI Act and GDPR.

Qualifications

• Applied AI/LLM engineering experience with Python.
• Experience delivering AI-assisted research tools and pipelines.
• Familiarity with EU AI Act and GDPR requirements.
• Strong collaboration across multidisciplinary teams.

Responsibilities

• Deliver technical AI solutions across the project, including a bounded conversational interview agent and a RAG-based public evidence assistant.
• Design, build, and evaluate reliable, well-tested LLM applications in Python, selecting appropriate models and interfaces.
• Deploy and operate systems on EU-hosted infrastructure with monitoring and compliance.
• Collaborate with researchers, partners, and end users to translate needs into working tools.

Skills

Python

LLM engineering

RAG pipelines

NLP / AI applications

Model evaluation

Stakeholder collaboration

Education

Master's degree in a relevant field

Tools

Python

LLM frameworks

Retrieval-augmented generation

Job description

The University of Salford seeks a Research Fellow (Technical Delivery) to build AI systems at the core of the FOUR4ALL Horizon Europe project focused on reducing working time. You will design, implement, and evaluate a bounded conversational AI agent and a retrieval-augmented evidence assistant in Python as part of a multidisciplinary team.

This hands-on role emphasizes selecting models, validating workflows, and delivering reliable AI applications while complying with EU AI Act and GDPR.