Bio-Techne · 19 hours ago
AI Engineering Intern
Bio-Techne is a company dedicated to enabling cutting-edge research in Life Sciences and Clinical Diagnostics. They are seeking an AI Engineering Intern to support their GenAI transformation by designing components for multi-agent systems and enhancing enterprise AI infrastructure.
BiotechnologyGeneticsManufacturingMedicalMedical Device
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
Qualification
Required
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
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.
Company
Bio-Techne
Bio-Techne is a supplier of tools for life science research, therapeutic manufacturing, and clinical diagnostics.
Funding
Current Stage
Public CompanyTotal Funding
unknown1989-05-19IPO
Recent News
2025-12-24
2025-12-13
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