Senior Software Engineer, AI and ML Platforms

By joining Bio-Techne youll 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.

Pay Range:

Bio-Techne developsinnovative software and instrumentation solutions that help scientists generateaccurate reproducible biological data atscale. As our software portfolio evolves toward SaaS-based delivery models we are embedding AI-driven intelligence directly into our platforms to improve usability automation and scientific insight.

This Senior Software Engineer role sits at the intersection of AI engineering cloud-native microservices and enterprise SaaS platforms. You will lead the design and implementation of scalable backend services that power AI-enabled features across Bio-Techne software products. This role is ideal for an experienced engineer who enjoys owning architecture mentoring others and delivering production-grade systems used in regulated scientific environments.

This is a hybrid position based out of our San Jose CA site.

Responsibilities:

• Lead the design and development of cloud-native microservices-based backend systems supporting Bio-Technesoftwareproducts

• Design build and deploy AI-powered services including LLM-based assistants recommendations and automation workflows

• Develop scalable REST and event-driven APIs that integrate AI services with instrument software and customer-facing applications

• Architect and implement Retrieval-Augmented Generation (RAG) pipelines over scientific operational and customer data

• Partner withcentral IT Enterprise Data and Infrastructure teams to align AI services with shared platform standards. This includesMLOpspractices data access governance observability frameworks and security controls ensuring that POC work can be reliably promoted to production environments.

• Establish and maintainMLOpspractices for model versioning evaluation monitoring and retraining ensuring AI services degrade gracefully and remain reliable over time.

• 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 servicesoperatingin production environments

• Drive technical standards for code quality service ownership and system architecture

• Mentor junior engineers and contribute to design reviews code reviews and technical decision-making

• Document system architecture APIs and operational considerations for internal and cross-functional stakeholders

Qualifications

Education & Experience:

• B.S. in Computer Science Software Engineering or related technical field and 7 years of relevant experience developing and operating production-grade software systems

• OrM.S. in Computer Science AI/ML or related discipline and 5 years of relevant experience

• Orequivalent combination of relevant education andexperience

Knowledge Skills and Abilities:

• Strongproficiencyin Python Java or similar backend languages with hands-on microservices experience

• Demonstrated experience designing and operating cloud-native SaaS platforms

• Experience building RESTful APIs using frameworks such asFastAPI Flask or Spring Boot

• Hands-on experience integrating AI/ML or LLM-based services into real-world applications

• Solid understanding of distributed systems asynchronous processing and service-to-service communication

• Experience with containerization (Docker) and CI/CD pipelines

• Strong written and verbal communication skills including experience working across engineering and scientific teams

• Strong ability to understand how systems work under the hood with the ability to reason about and implement the underlying algorithms evaluate the tradeoffs and build new capabilities

• Demonstrated ability to implement ML or information-retrieval algorithms; not solely through high-level frameworks (examples: custom retrieval ranking and re-ranking strategies embedding and chunking approaches evaluation pipelines or inference-time optimizations)

• Demonstratedtrack recordof designing and building novel systems or components rather than primarily integrating off-the-shelf tools

• Strong computer-science fundamentals: data structures algorithmic complexity

Preferred Qualifications:

• Experience with cloud platforms such as AWS or Azure

• Familiarity with Kubernetes and multi-service deployment strategies

• Experience managing the ML lifecycle including but not limited to EDA feature engineering model training/tuning validation deployment and maintenance

• Experience with vector databases (pgvector FAISS Pinecone or similar)

• Experience with RAG frameworks such asLangChainorLlamaIndex

• Exposure to scientific software laboratory instrumentation or regulated environments (GxP)

• Experience designing systems with multi-tenant SaaS considerations and feature-based licensing

Why Join Bio-Techne:

• 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.

Bio-Techne is an E-Verify Employer in the United States.

All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or status as a protected veteran.

To protect the interests of all Bio-Techne will not accept unsolicited resumes from any source other than a candidate application. Any unsolicited resumes sent to Bio-Techne will be considered Bio-Techne property.

If you require a reasonable accommodation to complete an application participate in an interview or take part in any other stage of the recruitment process please contact for assistance.