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Lead Python Developer with React

Indeed
Full-time
Onsite
No experience limit
No degree limit
79Q22222+22
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Summary: Lead Python Developer with React to spearhead an enterprise-grade agentic AI platform, shaping architectural direction and leading a team. Highlights: 1. Lead end-to-end delivery of an enterprise-grade agentic AI platform 2. Shape architectural direction and evolve distributed systems design 3. Provide technical leadership and mentorship to a team of engineers 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

Source:  indeed View original post
Sofía González
Indeed · HR

Company

Indeed
Sofía González
Indeed · HR

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