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Senior AI Engineer

Reward Gateway · London, United Kingdom

External listingfull-time27 days ago

About The Role

Join our team as a Senior AI Engineer, where you will build and optimize production AI systems, implement LLMs, RAG architectures, and agentic workflows, and collaborate with senior stakeholders across Product, Operations, and Engineering. You will have the opportunity to work with the latest AI technologies and frameworks, contribute to improving AI development practices, and stay current with AI/ML developments. Enjoy a range of benefits including life assurance, pension/401K, employee share plan, unlimited time off, and more.

  • Construire et optimiser des systèmes d'IA de production, en mettant en œuvre des modèles de langage de grande taille (LLM), des architectures de récupération augmentée (RAG) et des flux de travail agentiques.
  • Collaborer avec des parties prenantes senior pour traduire les exigences commerciales en solutions techniques bien conçues, et travailler en étroite collaboration avec les équipes Produit et Ingénierie.
  • Participer à l'amélioration des pratiques et des outils de développement de l'IA grâce à des retours d'expérience et des suggestions.
  • Experience with agentic workflow systems and complex orchestration patterns
  • Experience with model fine-tuning or custom training approaches
  • Background in NLP or contributions to open-source AI/ML projects
  • Strong technical expertise in LLMs, RAG, prompt engineering, embeddings, and vector databases
  • Data engineering capability, including working with datasets, ETL pipelines, and metrics definition
  • Solid understanding of ML fundamentals, model evaluation, and performance optimization
  • Demonstrated experience building and deploying AI systems in production environments
  • Experience with infrastructure as code (Terraform, CloudFormation)
  • Familiarity with MLOps platforms and experiment tracking tools
  • Production experience with AWS cloud services and familiarity with containerization (Docker, Kubernetes)
  • Hands-on experience with leading LLM providers (Anthropic Claude, OpenAI, etc.)
  • Strong Python development skills and proficiency with AI coding assistants (Cursor, GitHub Copilot, Claude)
  • Solid software engineering experience with a focus on production Generative AI and RAG systems
  • Good communication skills with ability to collaborate effectively across teams

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