5 days ago
Chicago, IL, USAMid Level
Base Salary
$85k - $105k/yr
Responsibilities
- Design, build, and deploy AI agents that autonomously reason, plan, and execute multi-step business tasks.
- Re-engineer manual and repetitive processes into reliable automated agentic workflows.
- Orchestrate single-agent and multi-agent workflows using frameworks such as LangChain, LangGraph, CrewAI, and AutoGen.
- Integrate agents with internal tools, APIs, databases, enterprise systems, and the Model Context Protocol.
- Implement retrieval-augmented generation pipelines using domain-specific data.
- Apply prompt engineering, tool and function calling, and rigorous evaluation to improve agent reliability.
- Deploy, monitor, evaluate, and continuously improve production agentic systems using MLOps and LLMOps practices.
- Build responsible-AI guardrails covering safety, human oversight, transparency, and compliance.
- Partner with the Senior Data Scientist and cross-functional teams to identify and prioritize automation opportunities.
Requirements
- At least 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.
- Experience with prompt engineering, tool and function calling, Model Context Protocol, RAG, and vector databases such as Pinecone, Weaviate, or ChromaDB.
- Familiarity with Azure/Fabric, AWS, or GCP for scalable AI deployment.
- Experience with MLOps/LLMOps, responsible AI, monitoring, governance, and compliance.
- Strong software engineering fundamentals, including API development, Git, and Docker.
- Strong communication skills for collaboration with business and technical teams.
- Preferred qualifications include a track record of automating repetitive workflows and experience in manufacturing and supply chain.
Benefits
- Medical, dental, and vision coverage effective day one.
- Supplemental hospital indemnity, accident, and critical illness insurance.
- Paid time off, paid parental leave, and adoption assistance up to $10,000.
- Parental support and family care benefits, including childcare resources and lactation support.
- 401(k) plan with up to 9% employer match.
- Wellness reimbursement up to $500 for qualified expenses.
- Employee Assistance Program, company-paid life insurance, and short-term disability coverage.
- Employer HSA funding for HDHP participants.
- Tuition reimbursement up to $10,000 and student loan repayment of $200 per month.
- Learning and development programs, rewards and recognition, matching gifts, free product, and Business Resource Groups.
- Hybrid Chicago work arrangement requiring onsite work three days per week; the role includes 10% travel.
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