Senior Software Engineer, AI and ML Platforms

Responsibilities:
- Lead the design and development of cloud-native, microservices-based backend systems supporting Bio-Techne software products
- Design, build, and deploy AI-powered services, including LLM-based assistants, recommendations, and automation workflows
- Develop scalable REST and event-driven APIs integrating AI services with instrument software and customer-facing applications
- Architect and implement Retrieval-Augmented Generation (RAG) pipelines over scientific, operational, and customer data
- Partner with central IT, Enterprise Data, and Infrastructure teams to align AI services with platform standards (MLOps practices, data governance, observability, security) to promote POC to production
- Establish and maintain MLOps for model versioning, evaluation, monitoring, and retraining
- Collaborate with product management, scientists, and UX teams to translate scientific workflows into AI-driven software capabilities
- Ensure reliability, observability, security, and performance of distributed services in production
- Drive technical standards for code quality, service ownership, and system architecture
- Mentor junior engineers; contribute to design/code reviews and technical decisions
- Document system architecture, APIs, and operational considerations

Qualifications:
- B.S. (CS/Software Engineering or related) + 7+ years, or M.S. (CS/AI-ML or related) + 5+ years, or equivalent combination

Skills/Abilities:
- Strong Python/Java (or similar) with microservices experience; cloud-native SaaS
- REST API development (FastAPI, Flask, Spring Boot)
- Hands-on AI/ML or LLM integration in real applications
- Distributed systems, async processing, service-to-service communication
- Docker and CI/CD
- Strong communication across engineering and scientific teams
- Implement ML/information-retrieval algorithms (e.g., retrieval/ranking, embedding/chunking, evaluation, inference optimizations)
- Novel systems/components; strong CS fundamentals

Preferred Qualifications:
- AWS/Azure; Kubernetes; ML lifecycle management; vector DBs; RAG frameworks (LangChain/LlamaIndex); GxP/regulation exposure; multi-tenant SaaS and licensing

Benefits:
- Competitive insurance (medical, dental, vision, life, short/long-term disability, pet, legal/ID shield); 401k, ESPP, HSA, FSA, Dependent Care FSA; mentorship/training/tuition reimbursement; employee resource groups and events; paid holidays/PTO/paid parental leave.

Application Instructions:
- For reasonable accommodation during the application process, contact hr@bio-techne.com.