About this role
Salary: £65,000 - 105,000 per year
Requirements: Bachelors degree or higher in Computer Science, AI, or a related STEM fieldHands-on experience deploying LLMs and multi-modal models at scaleStrong engineering background in Python with proven backend and API development skillsSolid understanding of scalable MLOps, observability, and cloud-native AI deploymentExcellent communication, problem-solving, and project management skills in agile environmentsExperience with agentic frameworks such as LangChain or LlamaIndex is a plusExperience with deep learning frameworks and front-end development is a plusFamiliarity with Langfuse, Langsmith, or other LLM observability tools is a plusUnderstanding of Model Context Protocol and bias/hallucination mitigation techniques is a plusPrevious success integrating GenAI solutions into enterprise-scale systems is a plus Responsibilities: Architect and develop autonomous AI systems integrating multi-modal LLMs across text, image, audio, and videoDesign agentic workflows that enable AI agents to interact with data sources and APIs using prompt engineering and RAGFine-tune, optimize, and deploy large language and multi-modal models with a focus on performance and latencyBuild scalable MLOps pipelines and full-stack applications to support robust, production-grade AI deploymentsGuide multidisciplinary teams and clients through strategic decisions in AI engineering and GenAI adoption Technologies: AIAI AgentsAPIArchitectBackendCloudSupportLLMLangfuseMLOpsPythonRAG More:
We are Capco, a technology and engineering consulting firm with a London-based, hybrid role in our Technology Delivery Team. We deliver high-impact technology solutions for Tier 1 financial institutions and help shape the future of digital transformation across financial services and energy. You will join a collaborative, flat, and entrepreneurial culture with access to continuous learning, training, industry certifications, and a people-first benefits package that includes bonus, pension, insurance, mental health support, family-friendly leave, backup care, annual leave flexibility, online GP access, and additional perks. We are committed to inclusion, accessibility, and a #BeYourselfAtWork culture that values individuality and collaboration.
last updated 36 week of 2026