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About the Role

As an AI Engineer, you will build and optimize production AI systems, working with the latest third-party AI services and frameworks. You will implement LLMs, RAG architectures, and agentic workflows to enhance internal tools, accelerate developer productivity, and improve customer experience. This role involves collaborating with senior stakeholders across Product, Operations, and Engineering to translate business requirements into technical solutions.

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.

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.
• 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).

Skills

• Generative AI
• RAG systems
• LLMs
• RAG
• Prompt Engineering
• Embeddings
• Vector Databases
• Anthropic Claude
• OpenAI
• Python
• Cursor
• GitHub Copilot
• Claude Code
• AWS
• Docker
• Kubernetes
• ML Fundamentals
• Model Evaluation
• Performance Optimization
• Data Engineering
• ETL Pipelines
• Metrics Definition
• Agentic Workflow Systems
• Orchestration Patterns
• NLP
• Open-source AI/ML projects
• Model Fine-tuning
• Custom Training
• MLOps Platforms
• Experiment Tracking
• Infrastructure as Code
• Terraform
• CloudFormation

Location

• London

Work Type

• Full Time

Salary/Compensations

• £80,000 - £90,000 / year

Benefits

• Inclusive and accessible recruitment process
• Reasonable adjustments available upon request
• Comfortable work environment encouraging passion, creativity, and individuality
• Valuing all cultures, backgrounds, and experiences
• Environment where everyone can thrive, feel supported, and contribute to the mission

About the Company

• 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.

Equal Opportunity

• We value all cultures, backgrounds, and experiences, because we believe diversity drives innovation and makes us stronger.
• Our approach to hiring and building teams is about more than filling roles - it’s about creating an environment where everyone can thrive, feel supported, and contribute to our mission of making the world a better place to work.