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.
Pay Range:
$132,400.00 - $217,600.00
Bio-Techne develops innovative software and instrumentation solutions that help scientists generate accurate, reproducible biological data at scale. 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:
Design, build, and deploy AI-powered services, including LLM-based assistants, recommendations, and automation workflows
Partner with central IT, Enterprise Data, and Infrastructure teams to align AI services with shared platform standards. This includes MLOps practices, data access governance, observability frameworks, and security controls, ensuring that POC work can be reliably promoted to production environments.
Establish and maintain MLOps practices for model versioning, evaluation, monitoring, and retraining — ensuring AI services degrade gracefully and remain reliable over time.
Ensure reliability, observability, security, and performance of distributed services operating in production environments
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
Or, M.S. in Computer Science, AI/ML, or related discipline and 5+ years of relevant experience
Or, equivalent combination of relevant education and experience
Knowledge, Skills, and Abilities:
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)
Preferred Qualifications:
Experience managing the ML lifecycle, including but not limited to EDA, feature engineering, model training/tuning, validation, deployment, and maintenance
Why Join Bio-Techne:
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 [email protected] for assistance.
