Principal AI Engineer
Join an award-winning, internationally recognised International B2B Consultancy organisation as a Principal AI Engineer, where you will play a pivotal role in shaping and delivering production grade generative AI capabilities.
This is a senior; hands-on engineering role focused on building the intelligence layer of advanced AI products. You will design and implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and robust evaluation frameworks that ensure AI systems are accurate and aligned with real-world business needs.
Reporting to the Director of AI, you will translate strategy and architecture into high-quality implementations, working closely with AI Platform Engineering to ensure solutions are scalable, maintainable, and production ready.
- Design, build, and train production-grade generative AI systems.
- Implement robust RAG pipelines that effectively leverage proprietary and domain-specific content.
- Develop agentic and workflow-based AI patterns with a focus on determinism, quality, and maintainability.
- Apply model adaptation techniques prompting, fine-tuning, distillation—to optimise quality, latency, and cost.
- Establish strong experimentation and evaluation practices to measure correctness, faithfulness, and robustness.
- Act as a technical authority, providing hands-on leadership, mentoring, and code-level guidance to AI engineers.
- Collaborate closely with platform, product, and delivery teams to move AI capabilities from experimentation into production.
- Contribute to advanced retrieval techniques, including Graph-RAG and structured knowledge representation, where they add value.
Required Skills & Experience
- Strong Python proficiency for production-grade AI development, with hands-on experience using LlamaIndex, LangChain, and LangGraph.
- Proven experience building Retrieval-Augmented Generation (RAG) systems; Graph-RAG experience is a plus.
- Practical experience with model adaptation techniques, including prompting, fine-tuning, instruction tuning, or knowledge distillation.
- Solid understanding of evaluation and experimentation for generative AI, focused on correctness, faithfulness, and robustness.
- Demonstrable experience owning technical design and delivery of complex AI, ML, or data-driven systems in production environments.
- Experience operating as a senior AI engineer or technical lead, balancing experimentation with production delivery and communicating effectively across teams.
This is a progressive career opportunity to work at the cutting edge of Generative AI model deployment, where your work directly shapes customer-facing products and business innovation. You will have real ownership, technical autonomy, and the backing of a world-class leadership team committed to building AI that delivers measurable value.