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# AI Engineer

- **Company:** Capco
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Engineering, Python (Programming Language), Machine Learning, Software Deployment, Software Engineering, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Deep Learning, Llamaindex, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, Build Management, LangSmith, Information Technology, Machine Learning Operations, Front End Software Development, Api Design, Model Context Protocol
- **Published:** October 12, 2026
- **Apply:** https://www.careerboard.com/gb/en/find-jobs-in-United-Kingdom/-73B1F23807EFA5DF82/

## About the Role

* Bachelor's degree or higher in Computer Science, AI, or related STEM fields
 * Hands-on experience deploying LLMs and multi-modal models at scale
 * Strong engineering background in Python with proven Back End and API development skills
 * Solid understanding of scalable MLOps, observability, and cloud-native AI deployment
 * Excellent communication, problem-solving, and project management skills in agile environments

Bonus Points For

 * Experience with agentic frameworks (eg, LangChain, LlamaIndex)
 * Experience in deep learning frameworks and Front End development
 * Familiarity with Langfuse, Langsmith, or other LLM observability tools
 * Understanding of Model Context Protocol and bias/hallucination mitigation techniques
 * Previous success in integrating GenAI solutions into enterprise-scale systems

## Description

We're looking for a Lead AI Engineer (Principal Consultant) to join our Technology Delivery Team. You'll combine your expertise in AI/ML engineering and software development to build and deploy cutting-edge generative AI and agentic systems across the financial services sector. As a hands-on leader, you'll architect AI solutions, embed them within enterprise environments, and drive impactful outcomes through advanced engineering, scalable pipelines, and deep cross-functional collaboration.

What You'll Do

 * Architect and develop autonomous AI systems integrating multi-modal LLMs (text, image, audio, video)
 * Design agentic workflows enabling AI agents to interact with data sources and APIs using prompt engineering and RAG
 * Fine-tune, optimize, and deploy large language and multi-modal models with a focus on performance and latency
 * Build scalable MLOps pipelines and full-stack applications to support robust, production-grade AI deployments
 * Guide multidisciplinary teams and clients through strategic decisions in AI engineering and GenAI adoption