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# Senior Agentic AI Developer

- **Company:** Emporia Consulting Group Limited
- **Location:** London, United Kingdom
- **Experience:** Expert
- **Salary:** £260,000
- **Contract:** Temporary contract
- **Skills:** Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Graph Database, Python (Programming Language), Machine Learning, Neo4j, OpenAI, Tensorflow, Toolchain, Pytorch, LangChain, Large Language Models, Prompt Engineering, Agentic-AI, Kubernetes, Information Technology, CrewAI, AutoGen, Virtual Agents, Semantic Kernel, Docker
- **Published:** October 30, 2026
- **Apply:** https://www.totaljobs.com/job/senior-ai-developer/emporia-consulting-group-limited-job108246548

## About the Role

Experience and skills required for the Agentic AI Engineer, Agentic AI Developer, Python

 * Fluency with modern ML toolchains (PyTorch/JAX, agentic frameworks, MCP).
 * Experience with AI agent ecosystems using frameworks such as LangChain, AutoGen, CrewAI, and Semantic Kernel.
 * Solid software-engineering fundamentals - tested, documented, maintainable Python
 * Familiarity with libraries such as TensorFlow, PyTorch, LangChain, or Ray is a plus.
 * Exposure to Knowledge Graphs (Neo4j / RDF / graph-based enrichment or retrieval).
 * Experience with either Docker, Kubernetes, cloud (AWS / Azure)
 * Experience integrating LLM APIs (OpenAI or similar), with prompt design and orchestration.
 * Hands-on experience training and deploying learned policies for complex behaviours in robots or simulated characters is a bonus
 * Ability to write clean, efficient, and well-documented code in a collaborative environment.
 * M.S. in Computer Science, Machine Learning, Robotics, or related field (or equivalent practical experience).

## Description

Role for the Agentic AI Engineer, Agentic AI Developer, Python

 * This is an opportunity to work in a modern, cloud-native engineering environment, building intelligent agentic AI systems that can reason, plan and act autonomously. You will take ownership of solutions end-to-end, from design and architecture, through development and deployment, to optimisation and continuous improvement.
 * You'll work closely with engineering, product and platform teams to embed Agentic AI and LLM-driven workflows into real-world products, contributing to architectural decisions, engineering standards and best practices.