AI Engineer

at  Eden Brown Synergy

Eden Brown Synergy is currently working in partnership with a Public Sector Organisation in Kensington which is looking to recruit an AI Engineer on an interim basis for 3 months initially.

The AI Engineer will be responsible for:

• Identifying use cases for GenerativeAI
• Collection and processing of data to be used as input into GenAI models
• Integrating council data into pre-trained models using techniques such as Retrieval Augmented Generation (RAG) and fine tuning
• Working with vector databases and vector embeddings
• Model deployment, serving and ongoing monitoring (MLOps / LLMOps)
• Building web applications and user interfaces to allow users to interact with models
• Researching existing solutions in the market
• Developing guidance and standards for deploying AI applications
• Coaching and upskilling colleagues, and wider staff, in Generative AI and software engineering.

Skills & Experience

Essential:

• 5+ years professional experience in software engineering / data engineering /machine learning engineering or a similar role
• Proficient in Python
• Knowledge of AI and machine learning, with a focus on Generative AI and Large Language Models (LLMs)
• Knowledge of how to integrate data into pre-trained Generative AI models using techniques such as Retrieval Augmented Generation (RAG) and fine tuning, using libraries such as Langchain, LlamaIndex and Hugging Face, or cloud based tools such as AWS Bedrock or Google Vertex AI
• Knowledge and experience of Natural Language Processing (NLP) techniques such as text embeddings, and an understanding of how different data representations can
• affect model performance
• Experience of working with vector databases e.g. Pinecone
• Experience of building and deploying web applications using cloud technologies
• Knowledge of modern software engineering best practices e.g. test-driven development, CI / CD, containerisation
• Knowledge of MLOps / LLMOps, including model deployment, serving and monitoring
• Experience of working in an Agile environment
• Comfortable leading work autonomously and dealing with ambiguity
• Good communication and stakeholder management skills and the ability to wear a range of different hats if needed

If the role feels of potential interest, please apply with an up-to-date CV for immediate consideration.
Eden Brown Synergy is an equal opportunities employer.
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• Identifying use cases for GenerativeAI
• Collection and processing of data to be used as input into GenAI models
• Integrating council data into pre-trained models using techniques such as Retrieval Augmented Generation (RAG) and fine tuning
• Working with vector databases and vector embeddings
• Model deployment, serving and ongoing monitoring (MLOps / LLMOps)
• Building web applications and user interfaces to allow users to interact with models
• Researching existing solutions in the market
• Developing guidance and standards for deploying AI applications
• Coaching and upskilling colleagues, and wider staff, in Generative AI and software engineering