AI Product Developer
Posted Today by DCV Technologies
£500 Per day
Outside
Hybrid
Leeds, West Yorkshire
Summary: The AI Product Developer role focuses on designing and delivering enterprise-grade LLM and Copilot solutions within a high-impact AI Foundry environment. This hands-on position requires building scalable, production-ready AI systems utilizing LLMs, RAG, vector databases, and Azure AI services. The ideal candidate will have strong experience in generative AI and cloud-native development. This role is suited for those looking to create impactful AI products at an enterprise scale.
Key Responsibilities:
- Design and develop LLM-powered applications, AI agents and Copilot solutions
- Build and optimise RAG pipelines, embeddings and vector search
- Integrate AI solutions with enterprise systems, APIs and cloud platforms (Azure)
- Implement secure-by-design AI engineering, monitoring and observability
- Develop reusable components including prompt libraries, agent frameworks and connectors
- Prototype, test and improve model performance, reliability and scalability
Key Skills:
- Strong experience with LLMs, Generative AI, RAG, embeddings and vector databases
- Hands-on with Azure AI / Azure OpenAI / cloud-native development
- Experience building production AI systems and API integrations
- Knowledge of DevOps, CI/CD, monitoring and observability
- Experience with LangChain, agent frameworks or Copilot Studio is highly desirable
Salary (Rate): £500/day
City: Leeds
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: Mid-Level
Industry: IT
We are hiring an experienced AI Product Developer / GenAI Engineer to design and deliver enterprise-grade LLM and Copilot solutions within a high-impact AI Foundry environment.
This is a hands-on role focused on building scalable, production-ready AI systems using LLMs, RAG (retrieval augmented generation), vector databases, embeddings and Azure AI services.
Key Responsibilities
- Design and develop LLM-powered applications, AI agents and Copilot solutions
- Build and optimise RAG pipelines, embeddings and vector search
- Integrate AI solutions with enterprise systems, APIs and cloud platforms (Azure)
- Implement secure-by-design AI engineering, monitoring and observability
- Develop reusable components including prompt libraries, agent frameworks and connectors
- Prototype, test and improve model performance, reliability and scalability
Key Skills
- Strong experience with LLMs, Generative AI, RAG, embeddings and vector databases
- Hands-on with Azure AI / Azure OpenAI / cloud-native development
- Experience building production AI systems and API integrations
- Knowledge of DevOps, CI/CD, monitoring and observability
- Experience with LangChain, agent frameworks or Copilot Studio is highly desirable
Desirable
- Experience in financial services or regulated environments
- Understanding of responsible AI, security and governance
This role is ideal for a GenAI Engineer or AI Developer looking to build enterprise-scale AI products with real-world impact.