50 Senior Ai Engineer jobs in Manchester

Senior AI Engineer (Gen AI & RAG)

Join an award-winning, internationally recognised high growth international SaaS business as a Senior AI Engineer, where you will play a central role in delivering and evolving production-grade generative & agentic AI capabilities that power real-world business outcomes.

This is a senior, hands-on engineering role focused on building the intelligence layer of next-generation AI products. You will architect and implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and rigorous evaluation frameworks that ensure AI systems are accurate, reliable, and grounded in genuine business value.

Reporting to the Director of AI, you will bridge strategy and execution, translating architectural direction into high-quality, scalable implementations in close collaboration with AI Platform Engineering.

What You'll Do

• Design, build, and deploy production-grade generative AI systems that perform reliably at scale.
• Implement and continuously improve RAG pipelines, including chunking strategies, reranking logic, and retrieval fusion, that effectively leverage proprietary and domain-specific content.
• Develop agentic and workflow-driven AI patterns with a strong emphasis on determinism, explainability, and long-term maintainability.
• Implement fine-tuning, instruction tuning, and knowledge distillation techniques to adapt models to domain-specific requirements, evaluating trade-offs against prompting on quality, latency, and cost.
• Drive strong experimentation and evaluation practices, ensuring experiments are reproducible and well-documented while measuring correctness, faithfulness, and robustness across AI outputs.
• Provide hands-on technical leadership, including code reviews, design walkthroughs, and mentoring across the team.
• Work closely with platform, product, and delivery teams to accelerate the path from AI experimentation to production deployment.
• Explore and apply advanced retrieval approaches, including Graph-RAG and structured knowledge representation, where they deliver clear value.

Required Skills & Experience

• Strong Python skills, with hands-on experience in LlamaIndex, LangChain, and LangGraph.
• Proven track record building RAG systems; Graph-RAG a distinct advantage.
• Hands-on fine-tuning, instruction tuning, and knowledge distillation, not just prompt engineering.
• Solid evaluation and experimentation methodology for generative AI, focused on correctness, faithfulness, and robustness.
• Experience with large-scale, production-grade data pipelines, including performance, scalability, and reliability.
• Track record owning technical design and delivery of AI/ML systems in live, business-critical environments.
• Azure/Foundry familiarity advantageous.

This is a compelling opportunity to work at the forefront of applied Generative AI, where your contributions directly shape customer-facing products and drive measurable business impact. You will bring genuine technical ownership and autonomy, supported by a world-class leadership team with a clear and ambitious AI roadmap.