We are looking for a hands-on AI Product Co-Developer to join our team building production-grade agentic AI systems for complex, data-intensive environments. This is a hybrid role sitting at the intersection of product thinking and engineering depth you will both define what gets built and actively build it, working across the full lifecycle from discovery and requirements through to deployment and iteration.

ROLE RESPONSIBILITIES & KEY ACCOUNTABILITIES

• Contribute to the full AI product lifecycle: discovery, requirements definition, development, testing, and deployment

• Design, build, and iterate on LLM-powered agentic workflows for complex, data-intensive use cases, applying sound orchestration patterns and tool-use design

• Translate business and user needs into clear, actionable product requirements and agent configurations

• Define and monitor product performance metrics and acceptance criteria for AI outputs in production covering accuracy, latency, cost, and auditability

• Manage the post-launch product lifecycle: track performance, gather user feedback, and contribute to model or feature refresh cycles

• Contribute to system optimisation across performance, cost, and operational constraints

• Collaborate with governance teams to ensure AI outputs meet internal quality, compliance, and interoperability standards

• Maintain a forward-looking view on the evolving AI landscape including model capabilities, agentic frameworks, and emerging protocol standards and translate relevant developments into product opportunities

• Engage with internal stakeholders and cross-functional teams to support successful delivery of AI capabilities

• Support demos and presentations of prototypes and new capabilities to internal and external audiences

• Build and share expertise in AI product design and agentic workflows across engineering, product, and domain teams

QUALIFICATIONS & EXPERIENCE

• 7+ years of experience spanning software or ML engineering and product development, or a closely related combination we value technical depth and product ownership in equal measure

• Demonstrated hands-on experience building with LLMs and/or agentic frameworks shipped products or features preferred over academic work

• Working knowledge of how large language models and agentic systems behave in production - including tool use, prompt design, orchestration patterns, output variability, and failure modes

• Ability to write clear product requirements and define, review, and challenge technical specifications without requiring engineering support

• Experience evaluating and testing AI outputs defining acceptance criteria, identifying edge cases, and working with engineering teams to resolve model or integration issues

• Solid Python skills and familiarity with APIs, data pipelines, and cloud infrastructure

• Experience with real-time or near-real-time data systems, with a natural sensitivity to latency, throughput, and cost trade-offs

• Familiarity with responsible AI principles including data quality, model performance monitoring, and bias considerations and their implications for product design in regulated environments

• Comfortable working across technical and commercial stakeholders able to translate product decisions clearly for engineering teams and client-facing audiences alike

• Exposure to AI partner platforms or ecosystems in a product, technical, or commercial capacity is an advantage 

• BA, BS, or Master's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience

Career Stage:

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyones race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what its used for, and how its obtained, your rights and how to contact us as a data subject.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Location: GBR-London-10 Paternoster Square, FRA- Paris-18 Rue du 4 septembre

Time Type: Full time