Senior Python Developer (Technology & AI Labs)
RemoteUnited States
Job Summary
Build, test, and deploy full-stack web applications using Python (FastAPI or Django) and React, while designing robust data layers with PostgreSQL and NoSQL databases. Implement, secure, and optimize RESTful APIs and microservices on AWS or Azure, managing CI/CD pipelines and cloud services including serverless functions and observability tools. Write clean, well-structured code with type hints and pytest, leading architecture planning, code reviews, and continuous improvement initiatives alongside principal engineers. Work AI-first, using tools like Claude Code or GitHub Copilot as your primary development environment to review and refine AI-generated output. Contribute to new product builds and modernization across regulated industry verticals and Venture AI Labs prototypes.
Required Qualifications
- 5+ years of professional Python full stack experience
- modern web framework (FastAPI, Django, or Flask)
- async patterns
- Pydantic
- Solid React experience
- TypeScript
- Strong PostgreSQL skills
- schema design
- indexing
- query optimization
- migrations
- Alembic
- Django migrations
- working experience with NoSQL
- MongoDB
- Hands-on cloud experience on AWS or Azure
- compute
- serverless functions
- container orchestration
- secrets management
- object storage
- messaging/queues
- observability tooling
- CI/CD experience
- GitHub Actions
- GitLab CI
- Azure DevOps
- building pipelines
- automated deployments
- release management
- Hands-on AI-first development experience
- Claude Code
- Codex
- GitHub Copilot
- Cursor
- JetBrains AI
- prompting
- reviewing AI output
- steering AI output
- overriding AI output
- Comfortable being a polyglot
- .NET / C#
- Node.js
- Go
- Strong fundamentals in software design
- testing (pytest, integration tests)
- secure-by-default engineering
- observability
- Strong communication and ownership
- remote, forward-deployed environment
- shifting context across products and teams
Desired Qualifications
- Experience working in a high-velocity R&D group
- innovation lab
- incubator
- fast-moving startup
- skunkworks-style team
- inside a larger enterprise
- Experience modernizing legacy systems
- Python 2 → 3
- monolith → services
- Flask → FastAPI/Django
- Hands-on experience building LLM-powered features
- RAG
- evals
- agent frameworks
- tool use
- vector databases
- pgvector
- Pinecone
- Weaviate
- Familiarity with the modern Python data and ML ecosystem
- pandas
- NumPy
- LangChain
- LlamaIndex
- Prior work inside regulated industries
- financial services
- healthcare
- legal
- insurance
- compliance-driven SaaS
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