
location_onCostco, 1709, Automation Parkway, San Jose, Santa Clara County, California, 95131, United States
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.
ProteinSimple, part of Bio-Techne, is seeking a Contract Software Engineer with expertise in AI and Machine Learning. This role focuses on building AI-powered capabilities such as LLM-driven assistants, retrieval-augmented generation systems, and integrations with scientific data platforms and instrument software.
This is a six-month contract position based out of San Jose, CA, targeted to start in June 2026. You will collaborate with scientists and cross-functional teams to design and develop chat-based AI assistants, build RAG pipelines across scientific datasets, and implement semantic search using vector databases.
We foster a culture of empowerment and innovation, where employees feel valued and encouraged to bring their new ideas to the table. We offer employee resource groups, volunteer paid time off, employee events, and charity drives to build a culture of caring and belonging.
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.
Work model: On-site
Costco, 1709, Automation Parkway, San Jose, Santa Clara County, California, 95131, United States
San Jose, California
Skills: Python, Fastapi, Flask, LLM Frameworks, Langchain, Llamaindex, Rag Pipelines, Vector Search, Microservices, Api Design.
Education: Bachelor's or Master's degree in Computer Science or related field, or equivalent experience; Bachelor's or Master's degree in Computer Science or related field, or equivalent experience.
Experience with multi-agent AI systems, background in biotech or scientific software, knowledge of real-time streaming (WebSockets/SSE), familiarity with cloud platforms (AWS, Vercel, Render), experience with LLM APIs (OpenAI, Anthropic), and knowledge of caching strategies (Redis).