- Collaborate closely with customers to scope, deploy, and maintain AI solutions in production environments.
- Design, develop, and deploy agentic workflows to orchestrate multi-step reasoning, tool use, and decision-making across production systems.
- Debug and optimize data pipelines and AI systems running on customer networks.
- Translate complex, often ambiguous customer requirements into well-scoped technical solutions.
- Work across the stack—from model inference on consumer hardware to infrastructure automation.
- Read hardware schematics/logs to identify performance bottlenecks and suggest improvements.
- Serve as a trusted technical advisor to enterprise clients, representing the engineering team externally.
- Contribute feedback and insight to internal teams to continuously improve product robustness and usability.
Machine LearningPyTorchTensorflow+3 more