Overview

We are building scalable GenAI and agentic systems and need a Lead Python Developer to shape robust, observable AI software end to end. You will design, package, and binarize Python services, implement Open Telemetry Observability for distributed tracing and multi-agent observability, and guide GenAI delivery from concept to production with cross-functional teams—apply now.

Responsibilities

  • Design robust Python-based software solutions, including development, packaging and binarizing
  • Implement Open Telemetry Observability with emphasis on distributed tracing and multi-agent observability
  • Build and integrate GenAI technologies and agentic development frameworks into production systems
  • Execute agentic evaluations to validate performance and reliability
  • Leverage distributed processing frameworks to enable scalable AI workloads
  • Collaborate with cross-functional teams to architect and deliver AI-driven applications
  • Contribute to the design and evolution of AI architecture and engineering practices
  • Drive GenAI application development from concept to production

Requirements

  • Proven track record with 5+ years of core software engineering in Python, including development, packaging and binarizing
  • Deep expertise in AI architecture, AI engineering and GenAI application development
  • Extensive implementation experience with Open Telemetry Observability, distributed tracing and multi-agent observability
  • Hands-on proficiency with GenAI technologies and agentic development frameworks
  • Demonstrated capability to perform agentic evaluations
  • Solid understanding of building scalable and reliable AI systems
  • Upper-Intermediate English language proficiency (B2)

Nice to have

  • Familiarity with Kubernetes
  • Knowledge of Ray
  • Skills in distributed processing frameworks

[GTS] Benefits (generic, except India)

  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn