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# Data & AI Engineer

- **Company:** Adecco
- **Location:** Manchester, UK
- **Salary:** £208,000.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Business Systems, Cloud Computing, Cloud Engineering, Databases, Continuous Integration, Graph Database, Python (Programming Language), Knowledge Management, Natural Language Processing, Performance Tuning, Search Technologies, SQL Databases, Large Language Models, Multi-Agent Systems, Prompt Engineering, Caching, Generative AI, Git, AI Platforms, Virtual Agents, Restful APIs
- **Published:** September 7, 2026
- **Apply:** https://www.adecco.com/en-gb/job-search/data-ai-scientists-manchester-manchester/broadbean_667561788770750

## About the Role

* 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.

## Description

* 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.


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