Production AI Solutions Engineer for Robotics

FieldAI; Irvine (CA); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Collaborative work environment

Opportunity to work on field-ready AI systems

Diverse and inclusive workplace

Job summary

FieldAI is seeking an AI Solution Engineer in Irvine, California to work with strategic customers, shipping production AI solutions that solve real business problems. You will be key in turning workflows into repeatable capabilities, collaborating across teams, and designing end-to-end solutions using Python.

This role requires strong problem-solving skills, proficiency in Python, and experience in customer discovery. Join an innovative team dedicated to creating dependable, field-ready AI systems.

Qualifications

• Bachelors degree or equivalent practical experience in software engineering, applied AI, or a related technical domain.
• Strong Python proficiency and experience shipping production-grade software.
• Experience in customer discovery and translating business requirements into technical solutions.

Responsibilities

• Build and ship production AI features that deliver measurable customer value.
• Work directly with customer teams to understand workflows, pain points, and success criteria.
• Design and implement end-to-end solutions using Python and production LLM systems.

Skills

Python proficiency

Software engineering

Customer discovery

Problem-solving skills

Education

Bachelor's degree in software engineering, applied AI, or related field

Tools

Production LLM systems

Job description

FieldAI is seeking an AI Solution Engineer in Irvine, California to work with strategic customers, shipping production AI solutions that solve real business problems. You will be key in turning workflows into repeatable capabilities, collaborating across teams, and designing end-to-end solutions using Python.

This role requires strong problem-solving skills, proficiency in Python, and experience in customer discovery. Join an innovative team dedicated to creating dependable, field-ready AI systems.