AI Engineer - Emerging Technologies

AI Engineer - Emerging Technologies

Matillion is The Data Productivity Cloud. We are on a mission to power the data productivity of our customers and the world, by helping teams get data business ready, faster. Our technology allows customers to load, transform, sync and orchestrate their data. We are looking for passionate, high-integrity individuals to help us scale up our growing business. Together, we can make a dent in the universe bigger than ourselves.

We are now looking for an AI Engineer with deep GenAI expertise to join our team!

About the Role

At Matillion, we're on a mission to eliminate friction in data engineering and supercharge productivity through the power of AI. As part of the Product organisation, our Data Science team is laser-focused on two things: pioneering how artificial intelligence and machine learning are woven into our products, and understanding how our customers use those products to drive continuous innovation.

This AI Engineer – Emerging Technology role sits at the heart of that mission. You'll be hands-on in developing, optimising, and experimenting with advanced models—helping to shape how Maia and our AI systems evolve end-to-end. From reinforcement learning to context and memory, from structured knowledge to performance optimisation, you'll explore new approaches and translate them into product-ready features that deliver real value to our users. If you're driven by impact, innovation, and the chance to work at the frontier of AI in a product-led organisation, this is the opportunity for you. We value in-person collaboration here at Matillion, therefore this role will ideally follow our hybrid work structure where employees work 2 days a week in the Manchester office. However, we can be flexible for the right person.

What You Will Be Doing

• Train, fine-tune, and evaluate large-language / foundation models, while also applying parameter-efficient techniques, reinforcement learning, and prompt engineering approaches.
• Build and enhance memory and context management systems: manage short- and long-term context, embeddings, and retrieval pipelines so Maia can access relevant information effectively.
• Integrate structured knowledge sources such as knowledge graphs and ontologies to improve consistency, reasoning, and reduce hallucinations.
• Develop capabilities for ingesting and processing multiple unstructured and multi-format data types (text, audio, etc.), designing pipelines for parsing, embedding, indexing, and retrieval.
• Optimise inference and system performance: reduce latency, increase throughput, design efficient prompt pipelines, and engineer for cost-effective scaling.
• Define and implement monitoring and evaluation frameworks: track metrics such as accuracy, drift, error rates, and user satisfaction; set up feedback loops to ensure robustness and reliability.
• Collaborate with engineers, product managers, and UX teams to turn experimental techniques into stable, scalable features that deliver measurable value.
• Stay hands-on: write code, prototype solutions, and contribute directly to implementation (with some work in Java where relevant).

What We Are Looking For

• Deep AI Expertise: Proven experience working with large language / foundation models, including training, tuning, and applying modern GenAI techniques such as reinforcement learning, memory and context systems, retrieval augmentation, structured knowledge integration, optimisation, and evaluation.
• Academic Rigor: Master's degree in a relevant field required; PhD preferred.
• Programming Ability: Strong coding skills are required; Java is highly desirable as our core codebase.
• Product Delivery Experience: Track record of delivering software features or products in a collaborative environment, ideally within a product-led organisation.
• Curiosity & Drive: Passion for emerging AI technologies, with the ability to critically evaluate new research and translate it into practice.
• Collaborative Mindset: Comfortable working cross-functionally to move from prototypes to production-ready features.

Join Matillion and help redefine what's possible in data engineering. If you're excited to apply cutting-edge AI in a way that's rigorous, innovative, and impactful—this is your role.

Matillion has fostered a culture that is collaborative, fast-paced, ambitious, and transparent, and an environment where people genuinely care about their colleagues and communities. Our 6 core values guide how we work together and with our customers and partners. We operate a truly flexible and hybrid working culture that promotes work-life balance, and are proud to be able to offer the following benefits:

• Company Equity
• 30 days holiday + bank holidays
• 5 days paid volunteering leave
• Health insurance
• Life Insurance
• Pension
• Access to mental health support

More about Matillion

Thousands of enterprises including Cisco, DocuSign, Slack, and TUI trust Matillion technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI. With over $300M raised from top Silicon Valley investors, we are on a mission to power the data productivity of our customers and the world. We are passionate about doing things in a smart, considerate way. We're honoured to be named a great place to work for several years running by multiple industry research firms. We are dual headquartered in Manchester, UK and Denver, Colorado.

We are keen to hear from prospective Matillioners, so even if you don't feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you are interested in Matillion but don't see a suitable role, please email talent@matillion.com.

Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.