We are building a Lead Python Developer role to advance GenAI applications and observability solutions with scalable, well-instrumented Python systems. You will apply strong Python engineering and agentic development frameworks to implement Open Telemetry tracing, multi-agent observability, and AI architecture patterns from concept through production—apply now.
Responsibilities
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Design core software solutions in Python, covering development, packaging and binarizing
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Implement Open Telemetry observability for distributed tracing and multi-agent observability
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Build and integrate GenAI technologies with agentic development frameworks
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Execute agentic evaluations to validate quality and performance
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Architect AI solutions that satisfy scalability and reliability requirements
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Deliver GenAI applications from concept through production release
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Collaborate with cross-functional teams to drive AI engineering initiatives
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Leverage distributed processing frameworks to support large-scale workloads
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 understanding of Open Telemetry observability, distributed tracing and multi-agent observability implementation
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Expert-level knowledge of GenAI technologies and agentic development frameworks
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Hands-on experience with agentic evaluations
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Solid background in AI architecture, AI engineering and GenAI application development
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English proficiency at B2 (Upper-Intermediate) level or higher
Nice to have
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Familiarity with Kubernetes
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Skills in Ray
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
