AI Full Stack Product Engineer (Agentic AI)
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Role details
Tech stack
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Requirements
- Strong commercial experience with TypeScript, Next.js and React.
- Backend development using Python and modern APIs.
- Experience building production applications using LLMs or AI services.
- Knowledge of LangGraph, Loop Harness, MCP or similar agent frameworks.
- AWS, Docker, Kubernetes and CI/CD experience.
- Comfortable working across the full technology stack.
- Experience within a fast-paced scale-up or product-led business.
The Person
We’re looking for someone who is:
- Passionate about AI and emerging technologies.
- Curious, energetic and keen to experiment.
- Comfortable working in ambiguity and trying new approaches.
- A strong communicator who enjoys collaborating across Product and Engineering.
- Happy wearing multiple hats and helping a growing business scale.
About the company
We’re looking for a hands-on AI Full Stack Product Engineer to help build the next generation of AI-powered products for a fast-growing technology business.
Working directly with an innovative CTO, you’ll develop intelligent applications using Agentic AI, LLMs and frameworks such as Loop Harness and LangGraph, helping shape how AI is Embedded into real-world products.
This is a role for someone who enjoys experimenting, moving quickly and solving complex problems in a collaborative scale-up environment.
What You’ll Be Doing
- Build AI-powered products using modern full-stack technologies.
- Develop agentic workflows and autonomous AI capabilities.
- Build and integrate APIs, Back End services and cloud-native applications.
- Work with LLMs including Anthropic Claude and other leading AI platforms.
- Prototype new ideas and rapidly iterate with Product and Engineering teams.
- Contribute across Front End, Back End, cloud infrastructure and AI engineering.
- Help define engineering standards and best practices for AI development., This is an opportunity to work on cutting-edge AI products where you’ll have genuine influence over technical direction, work directly with the CTO and help shape the future of an AI-first business.
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