Senior Python Developer with React

Description

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