AI/ML Development Principal Engineer

Key Responsibilities

• Develop and maintain AI agents and agentic workflows to address real world challenges across all stages of business, development, and operations.
• Design and deploy agentic AI solutions and workflows that incorporate reasoning, planning, and execution to solve discrete problems in impactful ways.
• Assess models for optimal speed, accuracy and cost depending on problem domain and complexity.
• Develop agentic solutions with flexible architectures that can be used or modified to address similar needs across different business units and functions.
• Collaborate with subject matter experts throughout the company to define key opportunities to deploy AI solutions and assess roadblocks and solutions, including data quality and format, pipeline, verification and workflows.
• Mentor engineers and non-technical staff, and promote best practices in AI use, agentic systems, and generative AI development.

Job Qualifications/Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
• 7 to 12 years of hands-on experience in AI engineering, including recent, demonstrated expertise inAgentic AI, Generative AI, agent orchestration and workflows.
• Expert programming skills in Python and AI development stacks with a focus on agent development.
• Expertise in building agentic AI systems and orchestration frameworks.
• Experience deploying solutions in traditional engineering and manufacturing environments is a plus.
• Strong working knowledge of model providers and development ecosystems (OpenAI, Anthropic, AWS Bedrock, etc.).
• Solid understanding of scalability, cost, and performance optimization for AI workloads.
• Excellent collaboration and communication skills to work across software development, hardware and semiconductor engineering, operations and business teams.

Pay

The Salary Range for this position is $84,000 – $166,000. Actual salary offered to candidate will depend on several factors, including but not limited to, work location, relevant candidates’ experience, education, and specific knowledge, skills, and abilities.

Benefits

• Health, dental, and vision insurance.
• Employer-sponsored 401(k) plan.
• Paid time off.
• Professional development opportunities.