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