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
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Lead end-to-end delivery of an enterprise-grade agentic AI platform
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Shape architectural direction and evolve the design of distributed systems
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Coordinate AI agents to automate complex professional workflows
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Safeguard production reliability across CI/INT/QA/PROD environments
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Provide technical leadership and mentorship to a team of engineers
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Run code reviews and oversee technical debt management
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Evaluate architectural trade-offs to balance business and engineering priorities
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Embed large language models into applications through prompt engineering and agent delegation patterns
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Programmatically provision and govern cloud infrastructure across multiple accounts and environments
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Establish and refine CI/CD pipelines along with automated deployment workflows
Requirements
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5+ years of hands-on backend engineering experience with deep proficiency in Python (3.11+), covering async/await patterns and Pydantic data modeling
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Showcase of modular package design within a mono repo leveraging uv workspaces
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Expertise in FastAPI for delivering production REST APIs with dependency injection, middleware and SSE streaming
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Practical background in LLM / AI Agent Engineering, ideally with Anthropic Claude, spanning tool/skill orchestration and agent delegation
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Solid command of AWS Cloud Services including EKS (Kubernetes), RDS (PostgreSQL) and S3, complemented by Redis, ECR and Cognito
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Familiarity with AWS Bedrock and AgentCore for managed LLM hosting and serverless agent runtime environments
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Qualifications in AWS CDK for Infrastructure as Code spanning multiple accounts and environments
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Strong grasp of SQL and the data layer through SQLAlchemy (async), Alembic migrations and PostgreSQL
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Competency in CI/CD workflows using GitHub Actions and Docker (multi-stage builds)
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Demonstrated technical leadership in coaching engineers and steering architectural decisions
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English proficiency at B2 level or higher
Nice to have
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Flexibility to use React 18, Zustand and TanStack Query, paired with Vite for crafting modern TypeScript-based frontends
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Skills in testing approaches with pytest (async, parallel), Playwright for E2E coverage and quality gate enforcement in CI pipelines
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Knowledge of LLM observability platforms such as Langfuse or Promptfoo for tracing, evaluating and monitoring LLM behavior
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Capability to implement distributed tracing and application monitoring with OpenTelemetry and Datadog
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Background in security and compliance tooling such as SonarQube or Snyk, together with Artillery for load and performance testing
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Proficiency in Jinja2 prompt templating for maintainable, template-driven prompt systems
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
