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 fairlife.com. 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 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 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., 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) 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 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 fairlife's nour!sh program is designed to meet you where you are - supporting your individual wellbeing journey while enabling you to do your best work every day. ' This position requires current authorization to work in the United States. Visa sponsorship is not available for this position. This is a hybrid position based in our downtown Chicago office, with an expectation of working onsite three (3) days per week. position location: Chicago, IL reports to : Senior Data Scientist, Decision Intelligence travel requirements: 10% Exempt/Nonexempt: Exempt *Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered. Base pay range: $85,000—$105,000 USD fairlife, LLC is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. All qualified applicants and employees will be given equal opportunity. Selection decisions are based on job-related factors. In addition to its nondiscrimination commitment, the Company will also provide reasonable accommodation of qualified individuals with known disabilities unless doing so would impose an undue hardship on the Company. If you have a disability and would like to request accommodation in order to apply for a position with us, please email . For Recruitment Agencies At fairlife, we manage the majority of our hiring internally through our dedicated Talent Acquisition team, which is actively engaged in direct candidate sourcing. Most of our roles are filled through applications submitted via our careers site or through direct outreach by our team. As our recruitment is primarily handled in-house, we work only occasionally with external agencies, and only those on our existing, pre-approved vendor list. At this time, we are not reviewing or expanding that list. Unsolicited resumes or submissions from external agencies not authorized by our Talent Acquisition team will be considered direct candidate applications. As such, fairlife will not assume responsibility for any placement fees associated with these submissions.