Applied AI Engineer

Benefits

• Parts Town Pride – check out our virtual tour and culture!
• Quarterly profit‑sharing bonus
• Team member appreciation events and recognition programs
• Volunteer opportunities
• Casual dress code
• On‑demand pay options:
  Access your pay as you earn it, to cover unexpected or even everyday expenses
• All the traditional benefits like health insurance, 401k/401k match, employee assistance programs and time away – don’t worry, we’ve got you covered.

The Applied AI Engineer will advance internal AI capabilities by owning and improving high‑value, production‑ready AI solutions that are reliable, maintainable, and integrated into core business workflows. Working at the intersection of LLMs, machine learning, and modern software engineering, the role partners closely with AI, Business, and Enterprise Data teams to build enterprise‑grade systems across cloud and enterprise platforms. Success requires translating technical outcomes into clear business value while helping shape long‑term AI strategy and deployment across internal and customer‑facing experiences.

• Design, develop, and deploy LLM and ML based AI solutions into production
• Build and maintain RAG pipelines, prompt orchestration workflows, and AI‑driven automation systems
• Develop scalable inference services, APIs, and integration layers
• Investigate and resolve complex system and data challenges across AI pipelines, diagnosing root causes and implementing robust solutions
• Define and implement evaluation frameworks to assess AI performance, reliability, and business impact
• Integrate AI systems with cloud data platforms and enterprise applications
• Partner with business stakeholders to translate operational challenges into structured, measurable AI solutions
• Contribute to architectural decisions that ensure scalability, maintainability, and clear system boundaries
• Uphold strong engineering standards, documentation practices, and reproducibility across AI systems

• You have strong problem‑solving skills, intellectual curiosity, and a builder mindset to break down ambiguous problems and design, prototype, and iterate on AI or software solutions
• You have strong Python skills with solid software engineering fundamentals and experience deploying ML/AI systems into production
• You have experience building APIs or service‑based architecture and working with LLM‑based systems (RAG, prompt orchestration, evaluation frameworks)
• You have experience working with cloud platforms and operating effectively in fast‑evolving, ambiguous environments with a strong sense of ownership
• You can balance execution speed with engineering discipline and communicate technical concepts clearly to business stakeholders
• You have experience with enterprise data platforms, semantic modeling, ontology‑driven or knowledge‑based systems
• You have experience integrating AI solutions into operational business workflows
• You are familiar with monitoring, observability, and MLOps practices supporting production AI systems

Our AI team enjoys building meaningful things and solving real problems and is just as open to a quick ping pong match or a light team moment when people want a break.

We value curiosity, strong problem‑solving, and people who enjoy figuring things out, especially when the path isn’t obvious. It’s a team that balances focused work with small, optional ways to reset and connect!

The salary range for this role is $ to $ per annum, based on qualifications, experience, and geographical location. Parts Town is a pay‑for‑performance company. In addition to base pay, some roles offer a profit‑sharing program, and an annual bonus depending on the role. Our comprehensive benefits package includes health, dental and vision insurance, 401(k) with match, employee assistance programs, paid time off, paid sick time, paid holidays, paid parental leave, and professional development opportunities.

Parts Town welcomes diversity and as an equal opportunity employer all qualified applicants will be considered regardless of race, religion, color, national origin, sex, age, sexual orientation, gender identity, disability or protected veteran status.