Senior FastAPI Engineer

Quick Facts

• Role: Senior Python / FastAPI Developer (backend, AI-powered document workflows)

• Focus: APIs, LLM orchestration, asynchronous pipelines, performance and reliability, secure data handling

Description

You will develop backend services in Python and FastAPI that turn AI capabilities into dependable product features for legal and professional services organizations. The work includes connecting language models to application logic and data sources, building document retrieval and processing workflows, and ensuring background tasks and user-facing APIs run reliably at scale with strong attention to performance and data protection.

Responsibilities

• Develop and maintain APIs and backend services in Python and FastAPI

• Build workflows for document retrieval, LLM orchestration, tool execution, and response streaming

• Implement evaluation mechanisms to measure and improve AI output quality

• Design asynchronous pipelines for document ingestion, embedding generation, and long-running processing tasks

• Build and maintain integrations with email services and document management platforms

• Address performance bottlenecks and failure scenarios across distributed services

• Ensure secure handling of confidential information and clear separation of customer data

• Contribute to architecture decisions and engineering standards

Requirements

• 7+ years of experience developing backend systems used in production

• At least 6 years of Python experience and 3 years working with FastAPI

• Practical knowledge of PostgreSQL and SQL

• At least 2 years of experience with Redis

• Strong understanding of asynchronous processing, system reliability, and designing for failure

• Experience with LLM-based systems or strong motivation to work with RAG, agents, and tool-calling

• Effective use of AI development tools (e.g., Claude Code, Cursor, Copilot) with full responsibility for code quality

• Proactive technical ownership and comfort with changing startup priorities

Benefits

• Direct influence on backend architecture and product development

• Close collaboration with a small engineering team

• Practical AI challenges with real customers and production workloads

• Flexible, English-speaking environment

• Opportunity to help shape engineering practices as the team expands