About the Role

We are working with a leading financial services organization undergoing a major transformation, leveraging AI to enhance client-facing products and internal workflows. This is an exciting opportunity for a hands-on AI Product Engineer to join a small, agile engineering group within a larger, stable enterprise.

• Design and prototype AI-powered features using tools like OpenAI, Anthropic, and Google Vertex AI.

• Develop full-stack solutions using Python and TypeScript in a Next.js / AWS Amplify stack.

• Implement scalable, event-driven workflows with AWS Step Functions and Lambda.

• Integrate and normalize financial data across formats including JSON, XML, and CSV.

• Work cross-functionally with product, compliance, and operations teams to deliver production-ready solutions.

• Troubleshoot and optimize LLM pipelines; prior experience with LangChain or similar frameworks is highly valuable.

• Contribute to an environment that values rapid experimentation, clean architecture, and continuous learning.

• Proven experience building and deploying AI/ML-driven applications, preferably in regulated or data-sensitive industries.

• Strong fluency in Python and TypeScript, and a deep understanding of APIs, data schemas, and backend workflows.

• Demonstrated ability to work independently on complex technical challenges while collaborating closely with business stakeholders.

• Passion for AI/LLM exploration - you may have personal or open-source projects demonstrating your curiosity and skills.

• Comfortable balancing innovation with compliance, privacy, and security best practices.

• Languages: Python, TypeScript

• Frameworks: Next.js, LangChain

• Cloud & Infrastructure: AWS Amplify, AWS Lambda, AWS Step Functions

• AI Platforms: OpenAI, Anthropic, Google (Gemini / Vertex AI)

• Data Formats: JSON, XML, CSV

• Dev Tools: Cursor, Windsurf, Loom (for async walkthroughs)

• Opportunity to lead the AI transformation inside a globally recognized financial firm.

• Work with modern tech and real-world data at scale - no "labs" or theoretical models.

• Stability of an established company with the agility of a focused innovation team.

• Strong emphasis on professional development, autonomy, and technical excellence.

• Fully flexible work from anywhere (UK)