Artificial Intelligence Engineer
Experis
Sunderland, UK
6 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Software Debugging
Python (Programming Language)
Machine Learning
Software Safety
Software Engineering
Large Language Models
Generative AI
SC Clearance
Machine Learning Operations
Job description
Join a forward-leaning engineering team applying cutting-edge AI in real-world, mission-critical environments. This role focuses on integrating AI capabilities into production systems, ensuring they are reliable, secure, and deliver measurable impact.
What You’ll Do
- Integrate AI/ML components into applications and operational workflows
- Design and implement Retrieval-Augmented Generation (RAG) solutions
- Evaluate LLM performance, identify failure modes, and implement mitigation strategies
- Test, debug, and improve non-deterministic AI systems
- Balance AI approaches with deterministic or statistical methods where appropriate
- Collaborate with engineers, data scientists, and stakeholders to deliver production-ready AI solutions
Requirements
- Experience building or integrating AI/ML systems into real-world applications
- Strong understanding of LLMs, ML models, and core statistical concepts
- Experience evaluating AI systems and improving reliability and performance
- Ability to debug complex, non-deterministic behaviours
- Strong communication skills to explain AI trade-offs and risks
Bonus Skills
- Hands-on experience with RAG architectures and LLM tooling
- Experience working in regulated or high-assurance environments
- Familiarity with AI safety, risk, and governance considerations
- Background in software engineering (Python or similar)
Security Requirement
SC clearance (or willingness/eligibility to obtain) is required.
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