SC-Cleared Defence AI Engineer: RAG & Production AI

Experis UK

Newcastle upon Tyne

Sur place

GBP 65 000 - 95 000

Plein temps

14 jours+

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Résumé du poste

Applied AI Engineer – Defence & Security at Experis UK in Newcastle is seeking an engineer to integrate AI capabilities into production systems, ensuring reliability, security, and measurable impact in mission-critical environments.

You will design and implement Retrieval-Augmented Generation (RAG) solutions, evaluate LLMs, debug non-deterministic behaviour, and collaborate with engineers, data scientists, and stakeholders to deliver production-ready AI solutions.

Qualifications

  • 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.

Responsabilités

  • 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.

Connaissances

AI/ML integration
LLMs / ML models
Debug non-deterministic systems
Strong communication
Reliability testing

Outils

Python
LLM tooling

Description du poste

Applied AI Engineer – Defence & Security at Experis UK in Newcastle is seeking an engineer to integrate AI capabilities into production systems, ensuring reliability, security, and measurable impact in mission-critical environments.

You will design and implement Retrieval-Augmented Generation (RAG) solutions, evaluate LLMs, debug non-deterministic behaviour, and collaborate with engineers, data scientists, and stakeholders to deliver production-ready AI solutions.

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