AI Engineer (Open-Source, API Development, LLM Fine-Tuning)

AI Engineer

Salary: £70,000

Location: Fully remote

We are seeking an AI Engineer with a strong open-source software background to join a fast-growing scale-up. They offer fully remote employment and have a team of engineers dedicated to developing AI-powered search and Retrieval-Augmented Generation (RAG) pipelines within DataStax-based architecture.

This role is perfect for someone with expertise in Open-source, API development, fine-tuning LLMs, and integrating AI into scalable applications. If you thrive in an AI-driven development environment, enjoy working on cutting-edge retrieval models, and have a passion for optimising LLM performance, we want to hear from you.

Key Responsibilities:

• Develop and maintain scalable RESTful & GraphQL APIs to interact with LLMs and AI-powered search systems.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines using open-source tools like LangChain, Langflow, and DataStax Vector Search.
• Fine-tune LLMs (Hugging Face, OpenAI, Cohere, or similar) to improve response quality and domain-specific performance.
• Optimise embedding models for better semantic search and document retrieval.
• Collaborate with AI/ML, data engineering, and DevOps teams to ensure seamless system integration.
• Monitor API performance and AI search efficiency, implementing optimizations where necessary.
• Stay up to date with advancements in LLM fine-tuning, RAG methodologies, and vector search techniques.

Essential Skills & Experience:

• Programming: Strong proficiency in Opensource.
• API Development: Experience with FastAPI, Flask (Python) OR Express.js for microservices.
• RAG Development: Hands-on experience building retrieval-augmented AI search solutions.
• LLM Fine-Tuning: Experience fine-tuning models for domain-specific performance and optimizing inference speed.
• Passionate about AI and Open Source: Demonstrated involvement in open-source projects and a passion for AI and its applications.