Senior Software Engineer, AI and ML Platforms

ProteinSimple; San Jose (CA); Hybrid; USD 132,400 - 217,600; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) plans

Career development opportunities

Paid time off and holidays

Job summary

ProteinSimple, a part of Bio-Techne, is looking for a Senior Software Engineer in San Jose, California. This hybrid role involves leading the design of scalable AI-enabled backend systems and building cloud-native microservices for their software products.

The ideal candidate will have a strong software engineering background with 7+ years of experience in developing production-grade systems and expertise in languages such as Python and Java. Competitive benefits, and a culture that fosters innovation and empowerment are part of the offering.

Qualifications

• 7+ years of experience developing and operating production-grade systems.
• Demonstrated experience designing cloud-native SaaS platforms.
• Strong computer-science fundamentals: data structures, algorithmic complexity.

Responsibilities

• Lead the design of backend systems for Bio-Techne software products.
• Develop AI-powered services and scalable APIs.
• Establish MLOps practices to ensure reliability and performance.

Skills

Python

Java

Microservices

RESTful APIs

Cloud-Native Development

AI/ML integration

Distributed Systems

Containerization

CI/CD Pipelines

Communication Skills

Education

B.S. in Computer Science, Software Engineering, or related technical field

M.S. in Computer Science, AI/ML or related discipline

Tools

Docker

FastAPI

Flask

Spring Boot

Job description

Overview

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 provide tools for researchers to further treat and prevent disease worldwide. Bio-Techne develops innovative software and instrumentation solutions that help scientists generate accurate, reproducible biological data at scale.

Pay Range: $132,400.00 - $217,600.00

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-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. 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
• 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 operating in 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
  • M.S. in Computer Science, AI/ML, or related discipline and 5+ years of relevant experience
  • Equivalent combination of relevant education and experience
• Knowledge, Skills, and Abilities:
  • Strong proficiency in 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 as FastAPI, 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 trade‑offs, 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)
  • Demonstrated track record of 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 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

Benefits

• Competitive insurance benefits starting on day one: medical, dental, vision, life, short‑term disability, long‑term disability, pet, and legal and ID shield
• 401(k) plans, employee stock purchase plan (ESPP), Health Savings Account (HSA), Flexible Spending Account (FSA), and Dependent Care FSA
• Career development opportunities: mentorship, promotional opportunities, training and development, tuition reimbursement, internship programs
• Employee resource groups, volunteer paid time off, employee events, and charity drives
• Accrued leave policy with paid holidays, paid time off, and paid parental leave
• Culture of empowerment and innovation, where employees feel valued and encouraged to bring new ideas

Equal Employment Opportunity

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.