AI Engineer: LLMs, RAG & Transformers (Hybrid)

Location: Erskine, Scotland – Hybrid

Security Clearance level: SC

Candidates must be UK national/sole British citizens and resided in the UK for 5 years or over.

The role

We’re looking for a talented and forward-thinking AI Engineer to join our innovative team. This is a unique opportunity to work on cutting-edge AI technologies and contribute to transformative projects across multiple domains.

Key Responsibilities

• Design, develop, and optimize Transformer-based architectures (GPT, LLaMA, Mistral, Claude)
• Fine‑tune large language models for domain‑specific applications
• Implement advanced prompt engineering strategies
• Leverage Retrieval‑Augmented Generation (RAG) for enhanced contextual performance
• Build intelligent agents using frameworks like LangChain, LlamaIndex, CrewAI, AutoGen
• Apply reinforcement learning techniques including Q‑learning, policy gradients, and RLlib
• Collaborate with cross‑functional teams to integrate AI solutions into scalable products
• Ensure best practices in data engineering and contribute to architectural decisions
• Contribute to the mentoring and development of junior team members
• Support senior team members in identifying and addressing data science opportunities

Required Skills & Experience

• Proven experience with Transformer models and LLMs (GPT, LLaMA, Mistral, Claude)
• Strong background in fine‑tuning and prompt engineering
• Hands‑on experience with RAG pipelines
• Familiarity with Agent Frameworks (LangChain, LlamaIndex, CrewAI, AutoGen)
• Solid understanding of reinforcement learning concepts and tools (Q‑learning, policy gradients, RLlib)
• Azure AI Engineer Associate certification (or willingness to obtain)
• Bachelor’s degree in a relevant field or equivalent combination of education and experience
• Demonstrated relevant industry experience, including time spent in a similar role
• Proficiencies in data cleansing, exploratory data analysis, and data visualization
• Continuous learner that stays abreast with industry knowledge and technology

Why Join Us?

• Work on impactful AI projects with real‑world applications
• Be part of a collaborative and forward‑thinking team
• Access to continuous learning and development opportunities
• Flexible working arrangements and a supportive work culture

Ready to shape the future of AI?

We invite you to bring your expertise to a team that values innovation, creativity, and excellence.

#J-18808-Ljbffr…