AI Automation Engineer

fairlife•Chicago, IL

5d•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

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

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

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