Senior Python Developer with React
We are seeking a Senior Python Developer with React to drive the development of an enterprise-grade agentic AI platform built on Python and AWS. The platform orchestrates AI agents to automate complex professional workflows. You will own architectural decisions, guide a development team, and ensure production reliability across a multi-environment deployment pipeline. This is a hands-on leadership role requiring deep backend engineering expertise combined with modern AI/LLM integration experience.
Responsibilities
- Drive the development and architecture of an enterprise-grade agentic AI platform
- Own architectural decisions and evolve distributed systems design
- Orchestrate AI agents to automate complex professional workflows
- Ensure production reliability across a multi-environment deployment pipeline (CI/INT/QA/PROD)
- Guide and mentor a development team of engineers
- Conduct code reviews and manage technical debt
- Make architectural trade-offs aligned with business and technical goals
- Integrate large language models into applications using prompt engineering and agent delegation patterns
- Define and manage cloud infrastructure programmatically across multiple accounts and environments
- Maintain and evolve CI/CD pipelines and automated deployment workflows
Requirements
- 3+ years of experience in backend engineering with strong proficiency in Python (3.11+), including async/await patterns and Pydantic data modeling
- Expertise in modular package design within a mono repo using uv workspaces
- Proficiency in FastAPI for building production REST APIs with dependency injection, middleware and SSE streaming
- Hands-on background in LLM / AI Agent Engineering, preferably with Anthropic Claude, including tool/skill orchestration and agent delegation
- Working knowledge of AWS Cloud Services such as EKS (Kubernetes), RDS (PostgreSQL) and S3, along with Redis, ECR and Cognito
- Experience with AWS Bedrock and AgentCore for managed LLM hosting and serverless agent runtime environments
- Skills in AWS CDK for Infrastructure as Code across multiple accounts and environments
- Competency in SQL and data layer technologies including SQLAlchemy (async), Alembic migrations and PostgreSQL
- Proficiency with CI/CD tooling including GitHub Actions and Docker (multi-stage builds)
- Proven technical leadership capability to mentor engineers and drive architectural decisions
- English proficiency at B2 level or higher
Nice to have
- Experience with React 18, Zustand and TanStack Query, along with Vite for building modern frontend applications using TypeScript
- Background in testing with pytest (async, parallel), Playwright for E2E testing and establishing quality gates in CI pipelines
- Familiarity with LLM observability tools such as Langfuse or Promptfoo for tracing, evaluating and monitoring LLM behavior
- Understanding of OpenTelemetry and Datadog for distributed tracing and application monitoring
- Skills in security and compliance tooling such as SonarQube or Snyk, plus Artillery for load and performance testing
- Experience with Jinja2 prompt templating for building template-driven prompt systems
