We are seeking a Senior Python Backend Engineer with deep experience in async systems to help scale Flow RMS’s core backend. You will work in a production codebase that values correctness and performance, with ownership over architecture and long-term maintainability. You will engage in building robust data-heavy services, including CRM workflows and AI-driven document processing, while aligning with product goals and customer needs.
Technical focus: Python 3.11+ (preferably 3.13), async I/O patterns, FastAPI or similar async frameworks, Pydantic for data validation and settings, PostgreSQL with advanced features, SQLAlchemy 2.0 async ORM, Alembic migrations, GraphQL (Strawberry preferred), REST API design, API versioning, and clean, layered architectures. You will implement repository patterns, dependency injection, and service layers, with SOLID principles at the core.
AI-oriented coding: This role requires active, real-world use of AI-assisted development. You must apply agentic coding methods, break work into specs for AI tools, delegate subtasks, and leverage AI to accelerate development while preserving correctness. Stay current on AI tooling, patterns, and LLM capabilities, combining strong typing with structured outputs.
Desirable environment: Multi-tenant databases, vector stores, embeddings, semantic search, and integration with AI/ML tooling. We value an engineer who ships quickly yet avoids technical debt, with a strong bias towards high-quality code, clear communication, and collaboration across teams.
Company: Flow RMS
Overview: Flow RMS is building the operational backbone for the industrial supply chain, serving manufacturers, sales rep firms, and distributors. Our platform replaces slow, manual workflows—CRM, orders, commissions, product data, reporting—with an AI-first, automation-driven system that mirrors how this industry operates. We move fast, ship daily, and expect engineers to think, not just code. This role contributes to core backend systems powering CRM workflows, AI-driven document ingestion, and data-heavy operational services, delivering scalable, reliable capabilities that directly impact field operations and business outcomes.
- Build and maintain async-first Python services in production.
- Design and implement GraphQL APIs and supporting service layers.
- Own backend systems powering CRM workflows and AI document processing.
- Write clean, well-typed, maintainable Python code.
- Apply strong architectural patterns consistently across the codebase.
- Collaborate directly with frontend, AI, and product leadership.
- Ship improvements continuously without introducing technical debt.
- Operate in an environment that values correctness, maintainability, and performance.
AI/ML experience: LLM integrations (OpenAI, Anthropic Claude, Groq), structured frameworks (e.g., pydantic-ai), vector databases (Qdrant, Pinecone, Weaviate), and AI agents with tool registration and structured outputs.
Infrastructure and DevOps: Docker, Kubernetes, Redis, TaskIQ or Celery, CI/CD (GitHub Actions), serverless platforms (Modal or equivalents), and S3-compatible storage. Observability tooling (Datadog or similar), and experience with PDF/DOCX/OCR document processing.
Data tooling: Polars or Pandas for data processing, and robust data modeling for multi-tenant scenarios.
