AI Engineering Intern

Bio-Techne • Minneapolis, MN

1d • $17 - $23

About The Position

By joining Bio-Techne, you’ll join a company with a powerful and positive purpose of enabling cutting-edge research in Life Sciences and Clinical Diagnostics. Bio-Techne, and all of its brands, provides tools for researchers to further treat and prevent disease worldwide. All internship positions are designed to give college students an opportunity to apply techniques learned in an academic setting while obtaining new skills. This is a paid internship offering full-time hours during the summer months. All interns are required to conclude the program by giving a formal presentation on their work. Please note that no relocation assistance or sponsorship is provided for the internship program at this time. Position Summary: The AI Engineering Intern will support the next phase of Bio-Techne’s GenAI transformation by designing components for multi-agent systems, multi-component prompting, model context protocol, evaluator agents, and large-scale retrieval pipelines. This role focuses on long-term platform capabilities that strengthen our enterprise AI infrastructure.

Requirements

• Must be a currently enrolled student pursuing a graduate-level degree in a field relevant to the internship
• Must be able to work full-time during the duration of the internship program
• Currently pursuing a MS degree in Computer Science, Machine Learning, Data Science, or a related field with coursework in NLP, deep learning, or distributed systems.
• Hands-on experience building applications with LLM frameworks such as LangChain, LangGraph, Llama Index, or similar orchestration tools.
• Proficiency in Python with experience writing production-quality, modular code.
• Familiarity with vector databases, embedding models, and retrieval-augmented generation patterns.
• Experience with cloud platforms (Databricks, AWS, Azure, or GCP) and MLOps concepts such as model versioning and deployment pipelines.
• Strong problem-solving skills with the ability to translate ambiguous requirements into working prototypes.
• Excellent written and verbal communication skills for documenting technical work and collaborating across teams.

Responsibilities

• Design and implement components for production multi-agent architectures, including supervisor patterns, parallel execution graphs, tool orchestration, and state persistence strategies
• Develop multi-component prompting systems (MCPS) with dynamic prompt assembly, context injection, and modular template management for enterprise-scale applications
• Build evaluator agents that leverage LLM-as-judge patterns, automated regression testing, and continuous monitoring for deployed AI systems
• Architect retrieval pipelines integrating hybrid search, reranking models, chunking optimization, and metadata filtering across large heterogeneous document corpora
• Contribute to active learning workflows with stakeholders across the company where production feedback loops continuously improve GenAI model performance over time
• Support MLOps infrastructure, including model versioning, data storage integration, and scalable serving patterns on Databricks
• Prototype emerging capabilities such as agentic tool use, memory systems, and autonomous workflow execution to inform platform roadmap decisions

Benefits

• We offer competitive insurance benefits starting on day one: medical, dental, vision, life, short-term disability, long-term disability, pet, and legal and ID shield.
• We invest in our employees’ financial futures through 401k plans, an employee stock purchase plan (ESPP), Health Saving Account (HSA), Flexible Spending Account (FSA), and Dependent Care FSA.
• We empower our employees develop their careers through mentorship, promotional opportunities, training and development, tuition reimbursement, internship programs, and more.
• We offer employee resource groups, volunteer paid time off, employee events, and charity drives to build a culture of caring and belonging.
• We offer an accrued leave policy with paid holidays, paid time off, and paid parental leave.
• We foster a culture of empowerment and innovation, where employees feel valued and encouraged to bring their new ideas to the table.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern