Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 8 years of experience in software development.
  
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 3 years of experience in a technical leadership capacity (e.g., leading technical roadmaps, designing multi-system architectures, and guiding cross-functional engineering efforts).
• Experience designing and implementing AI/ML evaluations, LLM benchmarking frameworks, or agentic quality measurement pipelines.
• Experience in prompt optimization, LLM fine-tuning, automated dataset generation, and trajectory-based evaluation methodologies.
• Experience taking generative AI solutions or autonomous agent loops from prototype to high-reliability production systems.