Reward Gateway | Edenred is a global leader in benefits and employee engagement. We help businesses attract, engage, and retain top talent through strategic rewards, recognition, and well‑being solutions.
Guided by our shared missions of “Making the World a Better Place to Work” and “Enriching Connections, For Good”, we are committed to transforming workplaces and improving people’s daily lives.
We are looking for a Senior AI Engineer to build and optimise production AI systems. You will work with third‑party AI services and frameworks, implement LLMs, RAG architectures, and agentic workflows, collaborate with product, operations, and engineering stakeholders, and translate business requirements into technical solutions.
Key Responsibilities
Technical Development & Execution
- Build and deliver production‑ready AI and Generative AI solutions using LLMs, RAG architectures, and agents
- mplement and maintain retrieval pipelines using embeddings, vector databases, hybrid search, and effective chunking strategies
- Develop proof‑of‑concepts for emerging AI technologies and assess their production viability
- Write clean, maintainable code following established engineering best practices and quality standards
- Use AI coding assistants such as GitHub Copilot and Claude Code to accelerate development
- Participate in code reviews and architectural discussions to improve code quality and system design
Collaboration & Problem‑Solving
- Work closely with Product and Engineering teams to understand requirements and deliver iterative solutions
- Collaborate with cross‑functional partners (Security, Data, Operations) to ensure solutions meet quality, compliance, and scalability requirements
- Communicate technical decisions and tradeoffs clearly with both technical and non‑technical stakeholders
- Contribute to improving AI development practices and tooling through feedback and suggestions
Learning & Growth
- Stay current with AI/ML developments, emerging frameworks, and best practices
- Learn from more experienced engineers and contribute knowledge back to the team
- Participate in capability‑building activities and knowledge‑sharing sessions
- Build expertise in production AI systems, model evaluation, and optimisation techniques
Essential Skills
- Solid software engineering experience with a focus on production Generative AI and RAG systems
- Demonstrated experience building and deploying AI systems in production environments
- Strong technical expertise in LLMs, RAG, prompt engineering, embeddings, and vector databases
- 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)
- Production experience with AWS cloud services and familiarity with containerization (Docker, Kubernetes)
- Solid understanding of ML fundamentals, model evaluation, and performance optimisation
- Good communication skills with ability to collaborate effectively across teams
- Data engineering capability, including working with datasets, ETL pipelines, and metrics definition
Nice to have (but not essential)
- Experience with agentic workflow systems and complex orchestration patterns
- Background in NLP or contributions to open‑source AI/ML projects
- Experience with model fine‑tuning or custom training approaches
- Familiarity with MLOps platforms and experiment tracking tools
- Experience with infrastructure as code (Terraform, CloudFormation)
Location: Third Floor, 1 Dean Street, London W1D 3RB, United Kingdom. Full time.
Salary: £85,000 – £110,000 per year.
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