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