Lead Python Developer with React
We are hiring a Lead Python Developer with React to spearhead the build-out of an enterprise-grade agentic AI platform powered by Python and AWS. The platform coordinates AI agents to automate complex professional workflows. In this role, you will shape architectural direction, lead a team of engineers and safeguard production reliability across a multi-environment deployment pipeline. This hands-on leadership position blends deep backend engineering with modern AI/LLM integration know-how.
Responsibilities
- Lead end-to-end delivery of an enterprise-grade agentic AI platform
- Shape architectural direction and evolve the design of distributed systems
- Coordinate AI agents to automate complex professional workflows
- Safeguard production reliability across CI/INT/QA/PROD environments
- Provide technical leadership and mentorship to a team of engineers
- Run code reviews and oversee technical debt management
- Evaluate architectural trade-offs to balance business and engineering priorities
- Embed large language models into applications through prompt engineering and agent delegation patterns
- Programmatically provision and govern cloud infrastructure across multiple accounts and environments
- Establish and refine CI/CD pipelines along with automated deployment workflows
Requirements
- 5+ years of hands-on backend engineering experience with deep proficiency in Python (3.11+), covering async/await patterns and Pydantic data modeling
- Showcase of modular package design within a mono repo leveraging uv workspaces
- Expertise in FastAPI for delivering production REST APIs with dependency injection, middleware and SSE streaming
- Practical background in LLM / AI Agent Engineering, ideally with Anthropic Claude, spanning tool/skill orchestration and agent delegation
- Solid command of AWS Cloud Services including EKS (Kubernetes), RDS (PostgreSQL) and S3, complemented by Redis, ECR and Cognito
- Familiarity with AWS Bedrock and AgentCore for managed LLM hosting and serverless agent runtime environments
- Qualifications in AWS CDK for Infrastructure as Code spanning multiple accounts and environments
- Strong grasp of SQL and the data layer through SQLAlchemy (async), Alembic migrations and PostgreSQL
- Competency in CI/CD workflows using GitHub Actions and Docker (multi-stage builds)
- Demonstrated technical leadership in coaching engineers and steering architectural decisions
- English proficiency at B2 level or higher
Nice to have
- Flexibility to use React 18, Zustand and TanStack Query, paired with Vite for crafting modern TypeScript-based frontends
- Skills in testing approaches with pytest (async, parallel), Playwright for E2E coverage and quality gate enforcement in CI pipelines
- Knowledge of LLM observability platforms such as Langfuse or Promptfoo for tracing, evaluating and monitoring LLM behavior
- Capability to implement distributed tracing and application monitoring with OpenTelemetry and Datadog
- Background in security and compliance tooling such as SonarQube or Snyk, together with Artillery for load and performance testing
- Proficiency in Jinja2 prompt templating for maintainable, template-driven prompt systems
