Data & AI Scientists

Responsibilities

• Enhance and implement AI-powered applications across enterprise platforms.
• Integrate AI services into existing business systems and platforms using REST APIs and cloud-native architectures.
• Build and optimise Retrieval-Augmented Generation (RAG) solutions, embeddings, and vector database implementations.
• Develop AI Agents and Multi-Agent Systems to automate complex business processes.
• Apply prompt engineering and context engineering techniques to enhance AI performance.
• Work with frameworks such as LangChain, LangGraph, and MCP.
• Deliver scalable solutions using Python, SQL, Git, and CI/CD best practises.
• Test, evaluate, and continuously improve AI and LLM performance.
• Collaborate with engineering, data, and business stakeholders to drive AI adoption and innovation.

Required Experience

• Strong background in Generative AI, LLMs, NLP, and AI Engineering.
• Hands-on experience with RAG, embeddings, and vector databases.
• Proven experience developing AI Agents and agentic workflows.
• Proficient in Python, SQL, and API integration.
• Familiarity with cloud platforms such as Azure, AWS, or GCP.
• Demonstrated experience integrating AI services into enterprise platforms.
• Expertise in evaluating, testing, and optimising LLM and AI Agent performance.

Desirable Experience

• Knowledge of Knowledge Graphs and Semantic Search.
• Understanding of Responsible AI principles.
• Experience with AI Evaluations (Evals) and re-ranking techniques.
• Familiarity with caching strategies, token optimisation, and cost management.

Ideal Background

• Experience in Financial Services, FinTech, or Consulting is preferred.
• Track record of delivering AI solutions from proof of concept to production in enterprise environments.
• Previous experience in building enterprise knowledge management, search, or retrieval solutions is highly desirable.

Team Fit

The team consists entirely of contractors, seeking a proactive, self-driven individual eager to make an immediate impact.

The successful candidate will thrive in a fast-paced environment, collaborating effectively within a high-performing delivery team.

This is an excellent opportunity to engage in a major AI transformation programme within the organisation and contribute to delivering cutting-edge AI solutions at an enterprise scale.

Candidates who are excited about leveraging their expertise in AI and data engineering to drive innovation are encouraged to apply!