or apply directly on fairlife's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 16 days fairlife's roles stay open a median of 42 days
- Reposted
- No
- Salary listed
- No 2% of fairlife's roles list one
- Ghost-job risk at fairlife
- high 28 stale, 6 reposted of 59 open
- Hiring momentum
- 97 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from fairlife's own greenhouse board since 2026-08-03. Full hiring picture for fairlife.
About this role
The AI Automation Engineer at fairlife will focus on developing AI agents and automated workflows to enhance operational efficiency across various business functions such as manufacturing and supply chain. This role involves designing, building, and deploying systems that automate repetitive tasks, integrating with enterprise tools, and applying best practices in MLOps. The engineer will work closely with cross-functional teams to identify automation opportunities and ensure the reliability and compliance of automated systems.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of fairlife as an employer.
What you need
- 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
Nice to have
- A bias toward automation: a track record of spotting repetitive, manual workflows and building tools or agents to eliminate them
- Experience in manufacturing and supply chain
What you get
- 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
Worth weighing
- This position requires current authorization to work in the United States; visa sponsorship is not available.
- The role is hybrid, requiring onsite work three days a week in downtown Chicago.
- Base pay range is $85,000 — $105,000, which may vary based on geography and experience.
Summarised from fairlife's posting. Read the full original.
Listed by fairlife on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
More roles at fairlife
- Batching Operator- NightsCoopersville, Michigan, United States
- Processing Technician - Milk ReceiverGoodyear, Arizona, United States
- Talent Acquisition PartnerChicago, Illinois, United States
- Processing Operator- Pasteurization- NightsCoopersville, Michigan, United States
- Packaging Operator- NightsCoopersville, Michigan, United States
- Senior Manager, Facilities and Workplace ExperienceChicago, Illinois, United States
- Packaging Operator (12 Hour Nights - Rotating Weekends)Webster, New York, United States
- Utilities Technician 1(2 Hour Days – Rotating Weekends) - Flex to Night ShiftWebster, New York, United States