AI Automation Engineer

About the role

fairlife, LLC is a Chicago-based nutrition company that creates great-tasting, nutrition-rich 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.

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 LangChain, LangGraph, CrewAI, or AutoGen
• 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

Qualifications

• 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., LangChain, LangGraph, CrewAI, AutoGen) 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)

Benefits

• Comprehensive medical, dental, and vision coverage, effective day one
• Supplemental health plans (hospital indemnity, accident, and critical illness insurance)
• Paid Time Off to recharge and support work-life balance
• Paid parental leave & adoption assistance (up to $10,000)
• Parental support & family care benefits, including childcare resources and lactation support
• 401(k) to support retirement planning with up to 9% in employer match
• Wellness reimbursement (up to $500 for qualified wellbeing expenses)
• Employee Assistance Program (EAP) for emotional wellbeing and work-life support
• Company-paid life insurance and short-term disability
• Employer HSA funding (for HDHP participants)
• Tuition reimbursement (up to $10,000) and student loan repayment ($200/month)
• Learning & development programs to unlock your full potential
• Rewards & recognition, matching gifts, free product, and Business Resource Groups

Pay

Base pay range: $85,000—$105,000 USD

Schedule

This is a hybrid position based in our downtown Chicago office, with an expectation of working onsite three (3) days per week.

Reports to: Senior Data Scientist, Decision Intelligence

Travel: 10%

Status: Exempt

This response is AI-generated, for reference only.