AI Automation Engineer

fairlife, LLC is a Chicago-based nutrition company that creates great-tasting, nutrition-rich and dairy products to nourish consumers.

With over $3B in annual retail sales, fairlife’s portfolio of delicious, lactose-free, real dairy products includes:
fairlife® ultra-filtered milk
; Core Power® High Protein Shakes, a sports nutrition drink to support post-workout recovery;
fairlife® nutrition plan™, a nutrition shake to support the journey to better health.

A wholly owned subsidiary of The Coca-Cola company, fairlife, LLC has been recognized by both Fast Company and Nielsen for its industry leading innovation.

To learn more about fairlife and its complete line of products, please visit  .

job purpose :
The AI Automation Engineer will play a key role in advancing fairlife's vision of establishing a world-class Decision Intelligence ecosystem. This role centers on building AI agents and automated workflows that reason, plan, and execute tasks end-to-end — turning manual, repetitive processes into reliable automation across manufacturing, supply chain, and business operations. Working in a modern Microsoft Fabric and Azure environment, the engineer will design, develop, and deploy production-grade agentic systems that connect to enterprise tools and data to unlock operational efficiency and faster, better-informed decisions.

responsibilities:

• Design, build, and deploy AI agents that autonomously reason, plan, and execute multi-step tasks to automate business workflows
• Identify manual, repetitive, and high-friction processes and re-engineer them as reliable, automated agentic workflows
• Orchestrate single- and multi-agent workflows using frameworks such as Lang Chain, Lang Graph, CrewAI, or Auto Gen
• Integrate agents with internal tools, APIs, databases, and enterprise systems — including via the Model Context Protocol (MCP) — to enable reliable, end-to-end task execution
• Implement retrieval-augmented generation (RAG) pipelines to ground agents in fairlife's domain-specific data
• Apply prompt engineering, tool and function calling, and rigorous evaluation to make agents accurate, reliable, and production-ready
• Leverage MLOps/LLMOps best practices to deploy, monitor, evaluate, and continuously improve agentic systems in production
• Build responsible-AI guardrails — safety, human-in-the-loop oversight, transparency, and compliance — into every automated system
• Partner with the Senior Data Scientist and cross-functional teams to identify and prioritize high-impact automation opportunities

skills/qualifications required:

• 2+ years of relevant experience in AI engineering, machine learning engineering, software engineering, or related fields
• Bachelor's or Master's degree in Computer Science, Data Science, AI/Machine Learning, Engineering, or a related STEM field (or equivalent practical experience)
• Proficiency in Python and experience building applications with large language models (LLMs) and foundation models
• Hands-on experience with agentic AI frameworks (e.g., Lang Chain, Lang Graph, CrewAI, Auto Gen) and orchestration patterns
• Experience with prompt engineering, tool and function calling (including the Model Context Protocol), retrieval-augmented generation (RAG), and vector databases (e.g., Pinecone, Weaviate, ChromaDB)
• Familiarity with cloud platforms (Azure/Fabric, AWS, or GCP) for scalable AI deployment
• Experience with MLOps/LLMOps practices and responsible AI principles, including monitoring, governance, and compliance
• Strong software engineering fundamentals, including API development, version control (Git), and containerization (Docker)
• Strong communication skills for collaborating with business and technical teams
• A bias toward automation: a track record of spotting repetitive, manual workflows and building tools or agents to eliminate them (preferred)
• Experience in manufacturing and supply chain (preferred)

how fairlife nourishes you:

At fairlife, we believe in better — and that includes how we support our people. We offer a comprehensive suite of benefits and wellbeing resources designed to support you physically, emotionally, socially, and financially, both in and out of work.

• Comprehensive medical, dental, and…