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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