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Salary: USD 133,953 - 157,542 / annual
Parts Town, a fast-growing distributor of restaurant equipment, HVAC, and residential appliance parts, is seeking an Applied AI Engineer to advance internal AI capabilities and build production-ready AI solutions. This role sits at the intersection of LLMs, machine learning, and modern software engineering, partnering closely with AI, Business, and Enterprise Data teams to create enterprise-grade systems across cloud and enterprise platforms.
In this position, you will design, develop, and deploy LLM and ML-based AI solutions into production, including building and maintaining RAG pipelines, prompt orchestration workflows, and AI-driven automation systems. You'll develop scalable inference services, APIs, and integration layers while investigating and resolving complex system and data challenges across AI pipelines. Key responsibilities include defining and implementing evaluation frameworks to assess AI performance, reliability, and business impact, and integrating AI systems with cloud data platforms and enterprise applications.
You'll work closely with business stakeholders to translate operational challenges into structured, measurable AI solutions and contribute to architectural decisions that ensure scalability, maintainability, and clear system boundaries. Success requires strong problem-solving skills, intellectual curiosity, and a builder mindset to break down ambiguous problems and design, prototype, and iterate on solutions.
Required qualifications include strong Python skills with solid software engineering fundamentals and production ML/AI deployment experience. You should have experience building APIs or service-based architecture and working with LLM-based systems (RAG, prompt orchestration, evaluation frameworks). Cloud platform experience and the ability to operate effectively in fast-evolving, ambiguous environments with strong ownership are essential. You'll balance execution speed with engineering discipline and communicate technical concepts clearly to business stakeholders.
Bonus experience includes enterprise data platforms, semantic modeling, ontology-driven or knowledge-based systems, integrating AI solutions into operational business workflows, and familiarity with monitoring, observability, and MLOps practices supporting production AI systems.
Parts Town offers a hybrid work schedule, competitive benefits including health/dental/vision insurance, 401(k) with match, paid time off, paid parental leave, professional development opportunities, and a quarterly profit-sharing bonus. The company has been recognized on the Inc. 5000 list for 15 consecutive years and the Crain's Fast 50 list ten times, and was voted a Chicago Tribune Top Workplace for four consecutive years.
