Hybrid AI Engineer

at FSP

• Job title: AI Engineer
• Job type: Full Time
• Experience level: Junior, Mid level
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Azure, Cloud, Python, SQL
• Location requirements: Hybrid, Glasgow, United Kingdom

About the role

• AI Engineer designing and delivering production-grade AI solutions across public sector and enterprise clients. Focusing on Generative AI, Agentic AI, and collaboration with architects and engineers.

Responsibilities

• Deploy, fine-tune and monitor Generative AI models and Agentic AI systems for enterprise use cases.
• Develop and implement Retrieval-Augmented Generation (RAG) pipelines and advanced prompt and context engineering strategies.
• Design and implement multi-agent systems using orchestration frameworks such as CrewAI, Semantic Kernel or LangGraph.
• Integrate Agentic AI into business workflows and collaborate with data engineers to bring agentic capabilities to production.
• Implement LLM evaluation pipelines to assess output quality, accuracy and safety
• Apply responsible AI principles including fairness, transparency and auditability, particularly for regulated public sector environments.
• Apply AI safety, guardrails and output validation controls to ensure robust, compliant production deployments.
• Evaluate and recommend emerging GenAI tools and agentic frameworks for client applicability, driving innovation within the team.

Requirements

• 2+ years’ experience in AI engineering, software development or data science, with a strong recent focus on GenAI and LLMs.
• Hands-on experience with GenAI orchestration frameworks and cloud platforms, including Azure AI Foundry, CrewAI, LangChain, Semantic Kernel, Hugging Face and Azure ML Studio.
• Strong capability in prompt and context engineering, RAG pipeline design, and LLMOps, including tooling such as PromptFlow, LangSmith, prompt versioning and LLM cost management.
• Experience working with Azure data and analytics services, including Data Factory, Data Lake, Synapse Analytics and Azure SQL Database.
• Strong programming skills (Python, C# or similar), with experience using Azure DevOps/GitHub CI/CD, and working across the software development lifecycle, including access control, audit logging, documentation, knowledge transfer and training.

Benefits

• A collaborative and supportive environment in which you can grow and develop your career
• The tools and opportunity to do work you can be proud of
• A chance to work alongside some of the best people in the industry, who always seek to share their knowledge and experience
• Hybrid working – we empower you to make smart choices about when and where to work to achieve great results
• Industry leading coaching and mentoring
• Competitive salary and an excellent benefits package