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# Artificial Intelligence Engineer

- **Company:** Digital Waffle
- **Location:** Nottingham, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Databases, Information Engineering, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, NoSQL, Rapid Prototyping Process, Software Engineering, Systems Architecture, TypeScript, Large Language Models, Multi-Agent Systems, Prompt Engineering, Backend, Kubernetes, Free and Open-Source Software, Microservices
- **Published:** August 30, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815466859-artificial-intelligence-engineer

## About the Role

* 5+ years of software engineering experience, with strong ML or backend focus
 * Proficiency in Python and/or TypeScript, and experience with production-grade systems
 * Familiarity with LLMs, AI agents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.)
 * Strong grasp of data modelling, cloud infrastructure (preferably AWS), and modern APIs
 * Experience with relational and NoSQL databases (e.g. PostgreSQL, MongoDB)
 * Problem-solver who can reason about complex systems and deliver clean, scalable code
 * Excellent communication skills and ability to collaborate across technical and non-technical teams

Nice to Have

 * Hands-on experience with agentic workflows or autonomous AI systems
 * Background in data engineering or database architecture
 * Side projects, open-source contributions, or hobbyist builds involving AI/ML
 * Interest in rapid prototyping, automation, and cutting-edge AI tooling

## Description

You'll be a key member of the engineering team, focused on building LLM-driven features, intelligent agents, and ML-powered backend systems that automate and optimise intricate workflows. It's an ideal role for someone with strong backend/ML experience who wants to work on cutting-edge AI applications in a production environment.

You'll work in a fast-paced R&D setting, collaborating closely with cross-functional teams to bring ambitious ideas to life-balancing innovation with real-world delivery.

What You'll Be Doing

 * Design, build, and deploy ML-powered features, agents, and APIs to automate unstructured tasks
 * Build production-level backend and microservices in Python and TypeScript
 * Work with product and engineering teams to shape models, services, and system behaviour
 * Contribute to system architecture and infrastructure for scale, observability, and performance
 * Explore and implement LLMs, prompt engineering, and AI orchestration frameworks
 * Take ownership of features end-to-end, from design to deployment and monitoring


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