Sr. AI Engineer

Fieldpiece Instruments is hiring a Senior AI Engineer to establish its first dedicated AI engineering function. This hybrid role partners with teams across the organization to design, build, deploy, and improve practical AI and automation solutions that support real business objectives.

Role Overview

This position will work from Fieldpiece’s Orange, CA office with a move to Tustin, CA in 2028. The schedule is hybrid, with employees typically onsite three days per week, and additional onsite days may be required for onboarding, training, team meetings, project collaboration, or other business needs.

Key Responsibilities

• Partner with teams across Fieldpiece to understand workflows, pain points, and business needs, then identify opportunities where AI, automation, or improved technology can deliver meaningful impact.
• Translate business requirements from early concepts into production-ready applications and automations, including design, development, implementation, and ongoing support.
• Build AI agents, copilots, workflow automations, decision-support tools, and other practical AI-enabled solutions.
• Develop solutions using large language models, retrieval-augmented generation (RAG), enterprise knowledge systems, APIs, and agentic workflows.
• Integrate AI solutions with enterprise systems and data sources, including ERP, CRM, PLM, customer support, analytics, knowledge management, productivity platforms, and other business tools.
• Reengineer processes to improve speed, accuracy, quality, service, cost, revenue enablement, and employee productivity.
• Define and apply testing and evaluation approaches to support accurate, reliable, secure, scalable, and effective solutions.
• Collaborate with Information Systems, business leaders, data owners, and security stakeholders to implement appropriate governance and controls.
• Support user adoption of new AI tools and continuously improve solutions based on feedback and results.
• Evaluate emerging AI technologies and recommend approaches based on business value, implementation requirements, cost, risk, and scalability.

Required Qualifications

• Bachelor’s degree in CS, AI, or a related field.
• 5+ years of professional software engineering experience, including ownership of production applications.
• 2+ years of hands-on experience building solutions with modern AI technologies, including large language models.
• Experience converting ambiguous business problems into practical technical solutions.
• Hands-on experience with prompt design, retrieval architectures, AI application testing, and model or system evaluation, including building AI agents, multi-agent systems, tool-using agents, RAG solutions, or complex agentic workflows.
• Experience integrating APIs, cloud services, enterprise applications, and data sources.
• Strong proficiency in Python or another modern language used for AI application development.
• Experience with data engineering, analytics, BI, MLOps/LLMOps, observability, or cloud deployment.
• Experience with source control, testing, deployment, monitoring, and modern software delivery practices.
• Excellent communication skills, with the ability to work with technical and nontechnical stakeholders and explain complex technical decisions in business terms.
• A practical, curious mindset with enjoyment for understanding how a business works, asking the right questions, and improving processes through technology.

Preferred Technologies and Tools

• Python
• Large language models
• Retrieval-augmented generation (RAG)
• Microsoft Dynamics 365 Business Central
• Azure OpenAI
• Microsoft Copilot
• Power Platform
• Fabric
• Dataverse
• Microsoft 365
• APIs
• ERP, CRM, PLM

Additional “Even Better” Qualifications

• Experience with Microsoft Dynamics 365 Business Central or integrating solutions with ERP systems, Azure OpenAI, Microsoft Copilot, Power Platform, Fabric, or Dataverse.
• Experience working in a product, manufacturing, distribution, or field-service environment.
• Exposure to Lean, continuous improvement, or business process reengineering.

Benefits

• Competitive base salary with annual bonus opportunity
• Comprehensive medical, dental, and vision coverage
• 401(k) with company match and immediate vesting
• Generous paid time off and paid holidays
• Hire to Retire philosophy, including Individual Development Plans and support for career development
• Flexible Spending Accounts (FSA), Health Savings Accounts (HSA), and Employee Assistance Program (EAP)
• Music program with onsite guitar, piano, and voice lessons in California (classes can be streamed for other offices)
• Recognition programs, launch parties, and team building events to share successes

Culture and Work Approach

• Teamwork: collaborate, support one another, and win as a team
• Urgency: move quickly, stay agile, and focus on what matters most
• Respect: value diverse perspectives and maintain professionalism and integrity
• Trust: build strong relationships through accountability and transparency
• Learning: embrace curiosity, continuous improvement, and personal growth
• No Ego: value the best ideas regardless of source, with humility, openness, and mutual respect