AI Engineer

Collinson is a global loyalty and benefits company.

We use our expertise and products to craft customer experiences which enable some of the worlds best known brands to acquire engage and retain the most demanding and choice-rich particular our unique expertise and insight into high earning frequent travellers allows us to create products and solutions for our clients that inspire greater customer engagement to drive more profitable relationships enrich their travel experiences protect what matters and assist in in times of need.

While specialising in Financial Services Travel and Retail we also support clients in multiple sectors. We have worked with over 90 airlines 20 hotel groups and more than 600 financial institutions and banks with clients including Accor Hotels Air France KLM American Express British Airways Cathay Pacific Diners Club Mandarin Oriental Mastercard Radisson Hotel Group Sephora Visa and Vhi.

We take our 30 years experience working with these kinds of household names in over 170 countries and help our clients to deliver the smarter experiences it takes to differentiate their propositions and help them win deeper devotion with their customers.

Collinson is a privately-owned entrepreneurial business with 2000 passionate people working in 20 locations worldwide. Our solutions include Priority Pass the worlds best known airport experiences programme while we are also the trusted partner behind many of the leading financial services airline and hotel brands reward programmes and loyalty initiatives.

Purpose of the job

As an AI Engineer youll play a key role in designing building and operating AI powered features that are used by real customers and colleagues at scale. Youll work hands-on with large language models and modern engineering frameworks to turn ideas into reliable production ready systems that deliver measurable value. This role sits at the intersection of engineering product and data requiring both strong technical execution and thoughtful collaboration.

This is a practical delivery focused role where shipping matters. Youll be involved throughout the lifecycle from identifying high value opportunities for AI through prototyping and integration to monitoring and improving systems once they are live. Youll balance experimentation with robustness ensuring solutions are scalable secure and cost effective while meeting real user needs.

We welcome applicants from diverse backgrounds who enjoy building learning and iterating in collaborative teams. You are someone who is comfortable navigating uncertainty making evidence based decisions and refining approaches as models tools and requirements evolve. You combine curiosity with pragmatism helping the team make sensible choices around performance reliability privacy and risk and ensuring AI is applied thoughtfully to solve meaningful problems.

Key Responsibilities

AI Feature Design & Delivery Design build and run AI powered features using large language models translating product ideas into reliable scalable production systems that deliver measurable impact.

LLM Integration & System Architecture Integrate LLMs into existing applications and services shaping backend architectures and APIs that balance performance cost security and maintainability.

Prompt Engineering & Model Optimisation Develop test and refine prompt strategies to improve model accuracy safety latency and cost efficiency across different use cases.

Hands-On Engineering Build and maintain backend services and APIs using TypeScript and modern frameworks contributing clean well documented and maintainable code aligned with engineering best practice.

Cross-Functional Collaboration Work closely with product data and design partners to identify high value AI opportunities and shape solutions that are feasible testable and aligned to user needs.

Evaluation & Monitoring Define and implement evaluation approaches for LLM based systems including logging metrics and experimentation to continuously improve quality and reliability in production.

Scalable AI Patterns Contribute to shared approaches architectural patterns and standards for building AI driven features across the platform.

Risk Privacy & Cost Awareness Make informed engineering decisions that consider data privacy model risk operational resilience and commercial constraints.

Continuous Learning & Innovation Stay current with emerging AI technologies tools and techniques proactively recommending improvements that enhance outcomes for users and teams.

Knowledge skills and experience required

Our tech stack includes Typescript ( and React) AWS Kubernetes DataDog GraphQL PostgreSQL Mongo and Kafka.

Were looking for someone who brings:

A strong foundation in software engineering with hands-on experience building shipping and operating scalable production-grade systems.

Proven experience working with modern JavaScript and TypeScript stacks including and associated backend frameworks and confidence contributing to clean maintainable codebases.

Practical experience integrating large language models into real applications using APIs such as OpenAI Anthropic or similar with an understanding of prompt design evaluation and operational trade-offs.

Confidence designing and working with APIs and backend services including RESTful architectures and integration patterns that support reliability and scale.

Familiarity with cloud-native environments and production tooling including containerisation monitoring and deployment practices ideally within AWS-based ecosystems.

Experience working with data stores such as PostgreSQL MongoDB and or vector databases with an understanding of how data design supports AI driven use cases.

The ability to reason about cost latency privacy and risk when designing AI powered systems and to make pragmatic engineering decisions within real-world constraints.

Strong problem solving skills and attention to detail with a mindset oriented toward iteration evidence and continuous improvement.

The ability to communicate complex technical concepts clearly and simply to a range of audiences from engineers to product partners and non-technical stakeholders.

Curiosity and adaptability with a genuine interest in staying current with emerging AI tools techniques and best practices and applying them thoughtfully rather than reactively.

A collaborative approach and empathy for users and teammates contributing positively to a team environment and shared ownership of outcomes.

We encourage applications from people who want to grow into this role and welcome those who bring diverse perspectives career paths and experiences.