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# Senior Agentic AI Developer

- **Company:** Emporia Consulting Group Limited
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £260,000.0
- **Contract:** Temporary contract
- **Skills:** Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Graph Database, Python (Programming Language), Machine Learning, Neo4j, Tensorflow, Toolchain, Pytorch, Large Language Models, Prompt Engineering, Kubernetes, Information Technology, Virtual Agents, Docker
- **Published:** September 16, 2026
- **Apply:** https://www.totaljobs.com/job/senior-ai-developer/emporia-consulting-group-limited-job107986087

## 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.


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