Senior AI Engineer

Salary: £54,000 - 94,000 per year

Requirements:

• 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 optimization
• Good communication skills with ability to collaborate effectively across teams
• Data engineering capability, including working with datasets, ETL pipelines, and metrics definition
• Experience with agentic workflow systems and complex orchestration patterns is nice to have
• Background in NLP or contributions to open-source AI/ML projects is nice to have
• Experience with model fine-tuning or custom training approaches is nice to have
• Familiarity with MLOps platforms and experiment tracking tools is nice to have
• Experience with infrastructure as code (Terraform, CloudFormation) is nice to have

Responsibilities:

• Build and deliver production-ready AI and Generative AI solutions using LLMs, RAG architectures, and agents
• Implement 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
• 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
• 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 optimization techniques

Technologies:

• AI
• AWS
• Claude Code
• Cloud
• Copilot
• Cursor
• Docker
• ETL
• Fine-tuning
• GitHub
• Support
• Kubernetes
• LLM
• MLOps
• Python
• RAG
• Security
• Terraform

More:

We are Reward Gateway, part of Edenred, a global leader in benefits and employee engagement. We help businesses attract, engage, and retain top talent through strategic reward, 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 peoples daily lives. Our team embodies entrepreneurial spirit, innovation, and respect, fostering a culture where imagination thrives. This Senior AI Engineer role is part of our Engineering team, working in a well-established, stable, high-growth Unicorn SaaS company. We offer more than 50 benefits, including a flexible holiday plan of up to 40 days per year, a £400 annual wellbeing allowance, private medical insurance, support for professional development books, e-books and podcasts, a contributory pension scheme, and employee, friends and family discounts across 1,200+ retail, hospitality and lifestyle brands. We work in a flexible hybrid model from our Dean Street office two days per week, and we are committed to an inclusive, accessible recruitment process where everyone can feel comfortable bringing their passion, creativity and individuality to work.

last updated 34 week of 2026