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.
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This position requires current authorization to work in the United States. Visa sponsorship is not available for this position.
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.
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 [email protected].
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.
Skills Required
- 2+ years of relevant experience in AI engineering, machine learning engineering, software engineering, or a related field
- 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 and foundation models
- Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI, or AutoGen and orchestration patterns
- Experience with prompt engineering, tool and function calling, Model Context Protocol, retrieval-augmented generation, and vector databases
- Familiarity with cloud platforms such as 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, Git, and Docker
- Strong communication skills for collaborating with business and technical teams
- Track record of identifying repetitive manual workflows and building tools or agents to automate them
- Experience in manufacturing and supply chain
fairlife, LLC Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about fairlife, LLC and has not been reviewed or approved by fairlife, LLC.
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Fair & Transparent Compensation — Pay is considered competitive for many roles, often described as great or above average across positions. Compensation levels, paired with appreciation initiatives, contribute to strong overall sentiment.
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Strong & Reliable Incentives — Quarterly bonuses are highlighted as a consistent perk that meaningfully enhances total compensation. Recognition programs and appreciation efforts further reinforce incentive strength.
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Healthcare Strength — Multiple medical, dental, and vision options alongside wellness resources and an EAP indicate a comprehensive health offering. Supplemental protections and wellness reimbursements add depth to the coverage.
fairlife, LLC Insights
What We Do
fairlife, LLC is a Chicago-based dairy company that creates great-tasting, nutrition-rich and value-added products to nourish consumers. With more than $1B in annual retail sales, fairlife’s growing 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; and fairlife® Light Ice Cream. 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 company is driven by its values of caring for the people, animals, and planet it touches across its business. By providing nourishing products, implementing stringent care standards for animals, and stewarding efficient operations and responsible packaging, fairlife, LLC puts a focus each day on making a positive impact for all. To learn more about fairlife and its complete line of products, please visit fairlife.com. We reserve the right to take down any posts we find to be in violation of the above, or ban users who violate these rules. Thanks for your support.
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