
AI Engineer
- Bournemouth
- Permanent
- Full-time
- Support the 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.
- Proven proficiency in software engineering or ML engineering, demonstrated through practical application and contributions to real-world projects.
- Demonstrated ability to design, build, and deploy production-grade Generative AI solutions in professional 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 tools such as LangChain, LlamaIndex, and evaluation pipelines (e.g., llangfuse).
- Strong collaborative and communication skills.
- A proactive learner with a strong desire to adopt and explore emerging technologies.
- 25 Days paid leave, Plus Public holidays
- Additional incremental leave for length of service up to 5 days.
- Private Medical Insurance including a Personal Health Fund
- Group Life Assurance
- Enhanced Maternity leave
- Pension Contribution
- Employee Assistance Programme
- Birthday Day off
- and many more