AI Automation Engineer

fairlife, LLC; Chicago (IL); Hybrid; USD 85,000 - 105,000; Full time

Benefits offered by this job

Medical coverage

Dental & vision coverage

Paid Time Off

Parental leave

401(k) with employer match

Tuition reimbursement

Learning & development

Employee discounts

Job summary

fairlife, LLC in Chicago, IL is seeking a Hybrid AI Automation Engineer to advance a world-class Decision Intelligence ecosystem. You will design, develop, and deploy production-grade agentic systems that automate end-to-end tasks across manufacturing, supply chain, and business operations.

Working in a Microsoft Fabric and Azure environment, you will integrate agents with enterprise tools, implement RAG pipelines, and apply prompt engineering and MLOps practices to deliver reliable automation.

Qualifications

• 2+ years in AI/ML or related software roles.
• Bachelor's or Master's in CS/DS/AI or equivalent experience.
• Experience with LLMs, agentic AI frameworks, and orchestration.
• Knowledge of prompt engineering, RAG, and vector stores.
• Cloud experience (Azure/AWS/GCP) for AI deployment.
• Familiar with MLOps and responsible AI practices.
• Strong API, Git, and Docker fundamentals.
• Excellent communication and collaboration skills.

Responsibilities

• Design, build, and deploy AI agents that automate multi-step tasks.
• Identify manual processes and re-engineer them as automated workflows.
• Orchestrate multi-agent workflows using LangChain, LangGraph, CrewAI, or AutoGen
• Integrate agents with internal tools, APIs, databases, and enterprise systems.
• Implement retrieval-augmented generation to ground agents in domain data.
• Apply prompt engineering, tool and function calls, and evaluation for reliability.
• Leverage MLOps/LLMOps to monitor, evaluate, and improve production systems.
• Build guardrails for safety, human-in-the-loop oversight, and compliance.
• Partner with Senior Data Scientist and cross-functional teams to prioritise opportunities.

Skills

AI engineering

Machine Learning

Software engineering

Python

LLMs

Agentic AI

LangChain

Prompt engineering

MLOps

Azure

Docker

Education

BSc/MSc CS/DS/AI or related STEM

Tools

LangChain

LangGraph

CrewAI

AutoGen

Model Context Protocol

Pinecone/Weaviate/ChromaDB

Azure

Fabric

Job description

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

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

• 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.

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 [e-mail].