Python Architect
Role details
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Tech stack
Requirements
Job Title: Python Software Architect Location: London, UK (Hybrid, Occassional Travel Required) Duration: 6 Months Must-Have Requirements Extensive Python Proficiency: From 10 to 15 years of experience with python programming. Strong foundation in Python meta-programming (creating functions, classes via inheritance, packages, decorators, context variables). Expertise with common programming design patterns (abstraction, factory, adapter, façade, iterator, etc,...) . FASTAPI Expertise: Deep understanding of FASTAPI internals and ability to extend/modify FASTAPI functionality (e.g., using custom classes derived from FASTAPI main class, decorators). Experience integrating authentication (Azure Authentication and/or OAuth) so that calls between endpoints carry appropriate tokens/credentials. API Security best practices Containerization & Orchestration: Familiarity with containerizing FASTAPI applications (e.g., Docker) and deploying them to orchestration platforms like Kubernetes. LangChain/LangGraph Knowledge: Familiarity with agent creation features, callbacks, and ability to extend or modify core library behaviour. Experience wiring in telemetry (e.g., via OpenTelemetry) into these frameworks. System Architecture & Design Leadership: Proven track record in making high-level design decisions for codebases, including microservices or templates that will be reused across multiple teams. Capability to design, implement, and guide best practices around GenAI Agentic Systems, from backend infrastructure to library integrations. Asynchronous Programming: Experience with async/await, concurrency patterns, and event-driven architectures. Nice-to-Have Requirements Agentic Frameworks Beyond LangChain/LangGraph: Familiarity with other frameworks such as OpenAI API, Autogen, Google ADK, etc. MCP Server Creation Experience: Some hands-on knowledge or familiarity with building MCP server. Data Engineering & Telemetry Logs: Comfortable with processing telemetry logs, knowledge in designing data pipelines for distributed tracing or log analytics.