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
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Design robust Python-based software solutions, including development, packaging and binarizing
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Implement Open Telemetry Observability with emphasis on distributed tracing and multi-agent observability
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Build and integrate GenAI technologies and agentic development frameworks into production systems
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Execute agentic evaluations to validate performance and reliability
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Leverage distributed processing frameworks to enable scalable AI workloads
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Collaborate with cross-functional teams to architect and deliver AI-driven applications
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Contribute to the design and evolution of AI architecture and engineering practices
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Drive GenAI application development from concept to production
Requirements
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Proven track record with 5+ years of core software engineering in Python, including development, packaging and binarizing
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Deep expertise in AI architecture, AI engineering and GenAI application development
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Extensive implementation experience with Open Telemetry Observability, distributed tracing and multi-agent observability
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Hands-on proficiency with GenAI technologies and agentic development frameworks
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Demonstrated capability to perform agentic evaluations
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Solid understanding of building scalable and reliable AI systems
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Upper-Intermediate English language proficiency (B2)
Nice to have
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Familiarity with Kubernetes
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Knowledge of Ray
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Skills in distributed processing frameworks
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
