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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Solutions Engineer - **Company:** FDJ UNITED - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Code Review, Databases, Information Engineering, Information Leak Prevention, Python (Programming Language), Standard Sql, Search Technologies, SQL Databases, Large Language Models, Caching, Build Management, Kubernetes, Information Technology, Machine Learning Operations, Terraform, Software Version Control, Docker - **Published:** July 17, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=1585155856e8acdb ## About the Role * Strong track record shipping and operating LLM-powered applications in production environments. * Advanced Python and backend engineering skills, with a focus on maintainability and operational excellence. * Deep practical experience with RAG systems, including vector search, retrieval tuning, and evaluation. * Strong SQL and analytics fundamentals, including safe access patterns to analytical databases. * Experience working in cloud-native environments (Docker, Kubernetes) and collaborating with platform/security teams. * Demonstrated LLMOps discipline: evaluation, monitoring, release gates, and incident follow-up. * Strong security instincts for GenAI systems, including prompt injection risks and data leakage prevention. * Ability to lead without formal authority: shape designs, mentor peers, and influence stakeholders. * Bachelor's degree in Computer Science, Engineering, or related field, or equivalent professional experience. We believe talent knows no boundaries. Our hiring process focuses solely on your skills, experience, and potential to contribute to our team. We welcome applicants from all backgrounds and evaluate each candidate based on merit, regardless of personal characteristics as the age, gender, origin, religion, sexual orientation, neurodiversity or disability. ## Description * Own the full lifecycle of GenAI solutions: discovery, technical design, implementation, evaluation, release, and ongoing operation in production. * Design and build robust LLM-backed services and agentic workflows with explicit tool contracts, safe execution boundaries, retries, and failure handling. * Lead RAG design for your use cases, including ingestion approach (in partnership with Data Engineering), retrieval tuning, reranking, and systematic evaluation of retrieval and response quality. * Own production hardening for high-trust capabilities such as Text-to-SQL: schema grounding, golden question sets, safe query enforcement, timeouts, and auditable traces. * Define and maintain evaluation and release gates for the systems you own, including regression suites and safety checks to prevent silent degradation. * Ensure strong observability and operability: tracing, metrics, logs, dashboards, alerts, and clear runbooks for supported services. * Drive cost and performance optimisation for your use cases through model selection, routing, prompt/version control, caching strategies, and token budgets. * Collaborate closely with Platform Engineering, Data Engineering, and Security to deploy solutions on Kubernetes using approved Helm and Terraform patterns. * Mentor AI Solutions Engineers through code reviews, design discussions, and pairing on complex problems. * Communicate technical trade-offs clearly to product and business stakeholders, making risk and impact explicit. * Operate in line with FDJ UNITED values and applicable governance, risk, and compliance obligations, escalating issues early and documenting decisions. How you will be measured * Production outcomes: GenAI solutions delivered and sustained in production with clear ownership and measurable business impact. * Solution quality: evaluation pass rates and reduction in critical failure modes for owned services. * Reliability: achievement of defined SLOs and reduced incident recurrence through preventative engineering. * Cost efficiency: improved and predictable unit economics for owned use cases. * Security and compliance: strong audit posture and timely remediation of identified risks. * Team impact: quality of mentorship, reuse of patterns, and reduced rework across the team. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [HTTP headers that make your website go faster](https://www.wearedevelopers.com/videos/1676-http-headers-that-make-your-website-go-faster) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Collaborative Intelligence: The Human & AI Partnership](https://www.wearedevelopers.com/videos/1097-collaborative-intelligence-the-human-ai-partnership) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? 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