Applied AI Engineer — Production ML & LLM Systems

Parts Town; Illinois; Ibrido; USD 134.000 - 158.000; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid Work schedule

Quarterly profit-sharing bonus

Casual dress code

401k with match

Health insurance

Employee assistance programs

Paid time off

Descrizione del lavoro

Parts Town, a leading distributor of restaurant equipment parts, seeks an Applied AI Engineer to advance internal AI capabilities across cloud platforms. You will own production-ready AI solutions, from design to deployment, collaborating with AI, Business and Data teams to create measurable business value.

The role focuses on LLMs, ML, and modern software engineering, with a hybrid work schedule and a strong emphasis on safety, integrity, and continuous learning.

Competenze

• Strong Python skills with solid software engineering fundamentals.
• Experience deploying ML/AI systems into production.
• Experience building APIs or service-based architecture and working with LLM-based systems.

Mansioni

• Design, develop, and deploy LLM and ML-based AI solutions into production.
• Build and maintain RAG pipelines, prompt orchestration, and AI-driven automation systems.
• Develop scalable inference services, APIs, and integration layers.
• Investigate and resolve complex data challenges across AI pipelines and systems.
• Define evaluation frameworks to assess AI performance, reliability, and business impact.
• Integrate AI systems with cloud data platforms and enterprise applications.

Conoscenze

Python

LLM/ML systems

APIs/services

Cloud platforms

Strumenti

RAG pipelines

Descrizione del lavoro

Parts Town, a leading distributor of restaurant equipment parts, seeks an Applied AI Engineer to advance internal AI capabilities across cloud platforms. You will own production-ready AI solutions, from design to deployment, collaborating with AI, Business and Data teams to create measurable business value.

The role focuses on LLMs, ML, and modern software engineering, with a hybrid work schedule and a strong emphasis on safety, integrity, and continuous learning.