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
EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
