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Fieldpiece is seeking a Senior AI Engineer in our Orange, CA office with a future move to Tustin, CA. This hybrid role requires hands-on work building AI-enabled solutions across ERP, CRM, and analytics, partnering with business units to translate needs into production-grade applications.
You will deploy AI agents, copilots, and automations using LLMs, RAG, and enterprise systems, while ensuring governance, security, and scalability. Strong Python and cloud deployment experience are essential.
Fieldpiece is a privately held, global leader in professional HVACR tools and test instruments. We're known for developing innovative products that technicians rely on every day - and for investing in our people, our technology, and our future. Namedone of the Best Places to Work in Southern California for four consecutive years, we're looking for talented people who want to make an impact while growing their careers.
We're looking for a Senior AI Engineer to help us turn the potential of AI into practical solutions that help teams to increase their efficiency, speed, and accuracy in their everyday jobs.
This is a unique opportunity to become our first dedicated AI engineering hire and help shape how AI and automation are used across the organization. You'll partner with teams throughout the business---from Sales, Marketing, Finance, and HR to Product Development, Supply Chain, Operations, Customer Experience, and IT---to understand how they work, identify opportunities for improvement, and build solutions that deliver measurable value.
This position is in our Orange, CA office with an exciting move to Tustin, CA in 2028. This role follows a hybrid work schedule, with employees typically working onsite three days per week. Additional in-office days may be required from time to time for onboarding, training, team meetings, project collaboration, or other business needs.
Partner with teams across Fieldpiece to understand their workflows, pain points, and business needs and identify opportunities where AI, automation, or better technology can make a meaningful difference.
Take business requirements from concept to solution---designing, developing, implementing, and supporting production-ready applications and automations.
Build AI agents, copilots, workflow automations, decision-support tools, and other practical AI-enabled solutions.
Develop applications using large language models, retrieval-augmented generation (RAG), enterprise knowledge systems, APIs, and agentic workflows.
Connect AI solutions with ERP, CRM, PLM, customer support, analytics, knowledge management, productivity, and other enterprise platforms.
Reengineer processes to improve speed, accuracy, quality, service, cost, revenue enablement, and employee productivity.
Establish testing and evaluation approaches to ensure solutions are accurate, reliable, secure, scalable, and effective.
Work closely with Information Systems, business leaders, data owners, and security stakeholders to implement appropriate governance and controls.
Help users successfully adopt new AI tools and continuously improve solutions based on feedback and results.
Evaluate emerging AI technologies and make practical recommendations based on business value, implementation requirements, cost, risk, and scalability.
Bachelor's degree in CS, AI, or related fields.
5 years of professional software engineering experience, including ownership of production applications.
2 years of hands‑on experience building solutions using modern AI technologies, including large language models.
Experience taking ambiguous business problems and translating them into practical technical solutions.
Hands‑on experience with prompt design, retrieval architectures, AI application testing, and model/system evaluation. Experience 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 directly with both technical and nontechnical stakeholders and explain complex technical decisions in business terms.
A practical, curious mindset - you enjoy learning how a business works, asking the right questions, and figuring out how technology can make it better.
We believe great work starts with supporting our employees. That's why we offer a competitive total rewards package designed to promote your health, financial well‑being, work‑life balance, and professional growth.
At Fieldpiece, our values shape how we work, collaborate, and serve our customers every day. We believe in:
At Fieldpiece, we're building more than innovative products - we're building careers. If you're looking for a place where your work matters and your contributions are recognized, we'd love to meet you.
EOE AA M/F/Veteran/Disability