Summary

Responsibilities:

• Design, develop, and deploy AI systems that address complex challenges in manufacturing applications and deliver measurable value to users.
• Build and optimize agentic AI systems that can autonomously execute tasks, interact with external tools and APIs, and make intelligent decisions.
• Craft and refine prompts for large language models, employing techniques such as few-shot learning, chain-of-thought reasoning, and instruction tuning to optimize model performance and reliability.
• Collaborate with cross-functional teams including data scientists, software engineers, and product managers to identify AI opportunities, define requirements, and deliver integrated solutions.
• Monitor and maintain deployed AI systems, troubleshooting issues, optimizing performance, and ensuring scalability and reliability in production environments.
• Stay current with emerging AI research and technologies, evaluating new approaches and tools that could enhance our capabilities and recommending strategic directions for adoption.
• Document technical implementations, create knowledge-sharing resources, and mentor team members on AI engineering best practices and prompt optimization techniques.
• Validating results in real-world deployments with our customers
• Engaging with the technical community to present results externally, keep up to date on recent advances, and advance the state of the art

Preferred Experience:

• 3-5 years professional experience as an AI/ML Engineer and advanced degrees (M.S. or PhD. in AI, Machine Learning, CS Theory and Algorithms, Computer Science with ML/AI Planning focus, Economics, Operations Research, or related fields)

  • Experience with Agentic AI is a strong plus

• Proficient with Python, including most common AI frameworks and protocols including ADK, MCP, Langchain and exposure to ML and Optimization libraries

• Experience with SQL and GCP is a plus.

• Enthusiasm to own projects end-to-end; from experimentation to customer delivery