AI Software Engineering Intern

AI Software Engineering Intern

CSBio is a leading biotech company in the peptide industry, and for over 30 years has been providing pharmaceutical instrumentation to biotech, pharmaceutical, and academic researchers.

We are looking for a highly motivated AI Software Engineering Intern to help build and expand our internal AI tool used for inventory management, purchasing optimization, and manufacturing decision support. This role is ideal for a recent BS graduate who is resourceful, independent, and excited to build full-stack AI features with minimal guidance.

You will be working directly with leadership and internal stakeholders. We need someone who can learn fast, troubleshoot on their own, and embrace a "vibe coding" approach: figuring things out through exploration, iteration, and creative problem-solving.

Only local candidates who have graduated with a Bachelor's degree in Computer Science or Software Engineering and can commit to a full time on-site role for 3 months will be considered. This is a fully onsite role, 5 days in office at our Menlo Park OR Milpitas Location.

Job responsibilities include the following:

• Work with leadership and internal stakeholders to refine requirements and translate ambiguous goals into working code. Refining requirements and understanding exactly how the data structure is used out of our manufacturing system and API will be critical.
• Build new features for our internal AI platform using Python, Streamlit, Claude Code, and Codex.
• Integrate, debug, and optimize data workflows using the MISys Manufacturing REST API and our Bronze–Silver–Gold data architecture.
• Develop clean, functional pages for inventory visibility, purchasing logic, and AI-generated insights.
• Troubleshoot issues end-to-end—including data extraction, caching, errors, and deployment—independently.
• Iterate rapidly: quickly prototype ideas, test, refine, and ship features.

If you want an internship where you build real software, operate independently, and ship features that impact manufacturing operations immediately, this is it. You'll learn how to combine AI, data engineering, and real-world operations into a production tool that the company uses every day.