AI Engineer
Bournemouth, Dorset, United Kingdom
Hybrid / WFH Options
Hybrid / WFH Options
Nourish Care
design, development, and deployment of scalable AI-driven solutions. Collaborate closely with teams to understand product requirements and assist in translating them into technical implementations. Help implement GenAI architectures using best-in-class frameworks and tools. Contribute to developing solutions leveraging Azure technologies, specifically Azure OpenAI API. Participate in the development and optimization of RAG architectures, embedding strategies … indexing, and chunking methods. Assist in managing evaluation frameworks and pipelines, including using tools such as llangfuse. Contribute to the documentation and sharing of best practices around GenAI and Agentic architecture. Stay informed and actively engage in learning about new technologies and methodologies in AI. Essential Skills and Experience: Proven proficiency in software engineering or ML engineering, demonstrated through practical … or research settings. Strong proficiency in Python. Strong experience with either Azure AI stack or AWS AI stack Good understanding and hands-on experience with GenAI tools and open-source and commercial large language models (LLMs). Familiarity with AI architectures such as Agentic AI, RAG (including GraphRAG) Experience with frameworks and More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted: