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# Senior AI Engineer [3n00i]

- **Company:** SKM Group
- **Location:** UK (Remote available)
- **Experience:** Expert
- **Salary:** £45,000.0 - £102,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Unit Testing, Microsoft Azure, Cloud Computing, Software Quality, Continuous Integration, Python (Programming Language), NoSQL, NumPy, Azure Machine Learning, Software Engineering, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Backend, Fastapi, Pandas, Build Management, Virtual Agents, Automation Anywhere, Serverless Computing
- **Published:** June 7, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=6d3c03095ac41713

## About the Role

Do you have experience in Unit testing?, * Strong software engineering expertise in Python, particularly with FastAPI, Pandas, and NumPy.

 * Proven experience with Retrieval Augmented Generation (RAG) and Prompt Engineering.
 * Hands-on experience with vector databases and embedding models.
 * Proficiency with LangChain and LangGraph.
 * Experience with FastMCP and multi-agent libraries such as CrewAI, Autogen, or Taskweave.
 * Extensive experience with Azure cloud services, including Azure Functions.
 * Familiarity with NoSQL databases and robust CI/CD practices.

## Description

As a Senior Backend Engineer, AI/ML, you will be instrumental in designing, developing, and deploying high-performance AI-driven applications. You will tackle complex challenges in agent orchestration, RAG implementation, and scalable backend services, driving technical excellence and innovation within a collaborative remote team., * Core Stack: Python, FastAPI, RAG, Prompt Engineering, Azure, Vector Databases, Embedding Models, LangChain, LangGraph

 * Backend & AI: Pandas, NumPy, FastMCP, CrewAI, Autogen, Taskweave
 * Cloud & Tools: Azure Functions, Azure AI Services, NoSQL, CI/CD, Unit Tests

What You'll Do

 * Design, develop, and optimize sophisticated AI agents and RAG systems from concept to deployment.
 * Implement robust backend services using FastAPI, ensuring high performance, scalability, and reliability.
 * Spearhead the integration of advanced Prompt Engineering techniques and embedding models.
 * Architect and manage solutions leveraging Vector Databases, LangChain, and LangGraph for complex AI workflows.
 * Utilize Azure cloud services, including Azure Functions and Azure AI Services, to build and deploy scalable AI infrastructure.
 * Mentor junior engineers and contribute to best practices in CI/CD, unit testing, and code quality.


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