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# Agentic AI Developer (Python)

- **Company:** ClearRoute
- **Location:** London, UK
- **Salary:** £63,896.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Static Program Analysis, Programming Tools, Github, Python (Programming Language), ReactJS, Large Language Models, Multi-Agent Systems, Prompt Engineering, Ios Frameworks, Backend, Gitlab, Git, Vue.js, Build Management, Solid Principles, Kubernetes, Production Code, Front End Software Development, Virtual Agents, Restful APIs, Docker, Legacy Systems, Microservices
- **Published:** August 26, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5854825552

## About the Role

* Strong Python engineering skills: writing clean, testable, production-grade code that holds up under real world load
 * Proven experience designing and building microservices and RESTful APIs in production environments
 * Solid grounding in software design principles and systems thinking, especially around distributed, event-driven, or asynchronous systems
 * Genuine, hands-on interest in GenAI and agentic systems not just familiarity with the concepts, but active experimentation or delivery experience
 * Practical experience with LLMs, agentic frameworks (e.g. LangGraph, CrewAI, or similar), or prompt engineering in real projects
 * Direct experience with MCP, or comparable agent tool-serving and tool-calling patterns
 * Working knowledge of Git workflow automation, and experience with GitHub/GitLab APIs for building developer tooling or automation

Desirable Experience:

 * Deep understanding of how agents consume, select, and reason about external tools and services
 * Some exposure to frontend development or UI frameworks (React, Vue, or similar) for building agent-facing interfaces or observability dashboards
 * Comfortable operating in a container-native environment (Kubernetes, Docker), including deploying and scaling agentic services

## Description

Design and build the scalable service and API layer that powers an AI driven code modernisation and migration platform, combining agentic workflows with deep static analysis to automate the understanding, transformation, and migration of legacy systems at scale., * Design, build, and maintain scalable Python microservices and APIs that power and orchestrate agentic workflows in production

 * Build and integrate MCP servers and tools, enabling agents to reliably discover, call, and chain external capabilities
 * Own the full lifecycle of backend services supporting AI agents, ensuring they're robust, observable, well-tested, and production-ready at scale
 * Actively shape agentic architecture decisions, from tool-calling patterns and orchestration strategies to state management and multi-agent coordination


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