Agentic AI Developer (Python)

14 days ago

London, United KingdomSenior

Responsibilities

Design, build, and maintain scalable Python microservices and APIs that power and orchestrate production agentic workflows.
Build and integrate MCP servers and tools so agents can discover, call, and chain external capabilities.
Own the lifecycle of backend services supporting AI agents, including robustness, observability, testing, and production readiness at scale.
Shape agentic architecture decisions involving tool-calling patterns, orchestration strategies, state management, and multi-agent coordination.

Strong Python engineering skills and the ability to write clean, testable, production-grade code.
Proven experience designing and building production microservices and APIs.
Knowledge of software design principles and distributed, event-driven, or asynchronous systems.
Hands-on interest and experience with GenAI and agentic systems through experimentation or real-world delivery.
Practical experience with LLMs, agentic frameworks such as LangGraph or CrewAI, or prompt engineering.
Direct experience with MCP or comparable agent tool-serving and tool-calling patterns.
Working knowledge of Git workflow automation and GitHub or GitLab APIs for developer tooling or automation.
Desirable experience with React, Vue, or similar UI frameworks; Kubernetes and Docker; and deploying and scaling agentic services in container-native environments.

Genuine hybrid working and a home office budget.
Profit share, recognition programs, private healthcare, competitive salary benchmarking, and an employee assistance program covering counselling, mental health support, and financial wellbeing.
Learning budgets, Udemy access, a clear career framework, internal mobility, and thought leadership opportunities.
Interest-based communities, monthly socials, cross-regional events, and an inclusive, family-friendly culture.
Flexible working and accommodations for caring responsibilities or accessible interview needs.

51-200 employees