Biotechne

Biotechne

Senior Software Engineer, AI and ML Platforms

San Jose, CA · Senior

Sponsorship not specified$132k-$218kDetected 30 days ago
PythonJavaFastAPIFlaskSpringDistributed SystemsBackend DevelopmentData StructuresAlgorithmsCode ReviewVector DatabasesAWSAzureCloud PlatformsDockerKubernetesCI/CDRESTMachine LearningLLMsRAGMLOpsCybersecurityResearch

About the role

  • 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.
  • This Senior Software Engineer role sits at the intersection of AI engineering, cloud-native microservices, and enterprise SaaS 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 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 with central IT, Enterprise Data, and Infrastructure teams to align AI services with shared platform standards.
  • Establish and maintain MLOps practices 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
  • 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

Requirements

  • Or, M.S. in Computer Science, AI/ML, or related discipline and 5+ years of relevant experience
  • Knowledge, Skills, and Abilities:

Nice to have

  • 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 as LangChain or LlamaIndex
  • 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:

Skills

  • Strong proficiency in Python, Java, or similar backend languages with hands-on microservices experience
  • Demonstrated experience designing and operating cloud-native SaaS platforms
  • 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
  • Bio-Techne, and all of its brands, provides tools for researchers to further treat and prevent disease worldwide.

Compensation

  • $132,400.00 - $217,600.00 Bio-Techne develops innovative software and instrumentation solutions that help scientists generate accurate, reproducible biological data at scale.

Benefits

  • 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.
  • Education & Experience:
  • Or, equivalent combination of relevant education and experience
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This listing is sourced directly from Biotechne's careers page and normalized into a canonical job model.