Senior AI Engineer
Hybrid · London, England, United Kingdom
Job Summary
Senior AI Engineer with a focus on AI systems and generative tooling. Work within an agile, cross-functional team to design and deliver AI-enabled software solutions for clients, including problem solving during in-person whiteboarding sessions and on internal projects. Hybrid work arrangement: team presence on client site or in office at least two days per week, with time spent varying by role and assignment (potentially up to five days on client sites). Key responsibilities include prototyping and integrating AI models, building and evaluating RAG pipelines, working with vector stores and knowledge graphs, and deploying AI solutions in cloud-native environments. Required skills include experience with LangChain, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs, prompt engineering, model evaluation, distributed systems, microservices, RESTful APIs, and GenAI workflow tooling (LLMOps). Familiarity with AWS/GCP/Azure and DevOps/DevSecOps practices is expected. Some UK roles require security clearance; applicants should meet residency requirements to be eligible, and background checks are conducted.
Required Qualifications
- Software engineers with a passion for AI – or data scientists who’ve embraced engineering.
- Experience integrating models with APIs, data sources, or production systems.
- Strong foundation in a language suited to AI system development.
- Understanding of cloud-native (AWS / GCP / Azure) and DevOps / DevSecOps practices.
- Understanding of prompt and context engineering and model evaluation.
- Solid grasp of distributed systems, microservices, and RESTful APIs.
- An understanding of LLMOps tools for managing GenAI workflows.
- UK residency requirement for security clearance.
Additional Requirements
- UK residency requirement for security clearance
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