AI Product Engineer

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.

Key Responsibilities

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Design and prototype AI-powered features using tools like OpenAI, Anthropic, and Google Vertex AI.
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Develop full-stack solutions using Python and TypeScript in a Next.js / AWS Amplify stack.
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Implement scalable, event-driven workflows with AWS Step Functions and Lambda.
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Integrate and normalize financial data across formats including JSON, XML, and CSV.
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Work cross-functionally with product, compliance, and operations teams to deliver production-ready solutions.
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Troubleshoot and optimize LLM pipelines; prior experience with LangChain or similar frameworks is highly valuable.
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Contribute to an environment that values rapid experimentation, clean architecture, and continuous learning.

Ideal Candidate Profile

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Proven experience building and deploying AI/ML-driven applications, preferably in regulated or data-sensitive industries.
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Strong fluency in Python and TypeScript, and a deep understanding of APIs, data schemas, and backend workflows.
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Demonstrated ability to work independently on complex technical challenges while collaborating closely with business stakeholders.
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Passion for AI/LLM exploration - you may have personal or open-source projects demonstrating your curiosity and skills.
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Comfortable balancing innovation with compliance, privacy, and security best practices.

Technology Stack

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Languages: Python, TypeScript
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Frameworks: Next.js, LangChain
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Cloud & Infrastructure: AWS Amplify, AWS Lambda, AWS Step Functions
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AI Platforms: OpenAI, Anthropic, Google (Gemini / Vertex AI)
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Data Formats: JSON, XML, CSV
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Dev Tools: Cursor, Windsurf, Loom (for async walkthroughs)

Why This Role

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Opportunity to lead the AI transformation inside a globally recognized financial firm.
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Work with modern tech and real-world data at scale - no "labs" or theoretical models.
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Stability of an established company with the agility of a focused innovation team.
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Strong emphasis on professional development, autonomy, and technical excellence.
* Fully flexible work from anywhere (UK)