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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
- Design core software solutions in Python, covering development, packaging and binarizing
- Implement Open Telemetry observability for distributed tracing and multi-agent observability
- Build and integrate GenAI technologies with agentic development frameworks
- Execute agentic evaluations to validate quality and performance
- Architect AI solutions that satisfy scalability and reliability requirements
- Deliver GenAI applications from concept through production release
- Collaborate with cross-functional teams to drive AI engineering initiatives
- Leverage distributed processing frameworks to support large-scale workloads
Requirements
- Proven track record with 5+ years of core software engineering in Python, including development, packaging and binarizing
- Deep understanding of Open Telemetry observability, distributed tracing and multi-agent observability implementation
- Expert-level knowledge of GenAI technologies and agentic development frameworks
- Hands-on experience with agentic evaluations
- Solid background in AI architecture, AI engineering and GenAI application development
- English proficiency at B2 (Upper-Intermediate) level or higher
Nice to have
- Familiarity with Kubernetes
- Skills in Ray