Support development of internal LLM-based tools (coding assistants, RAG pipelines, prompt optimization), improve engineering efficiency, test and document AI tools, and research emerging AI technologies.
What You Will Do
- Assist in building AI tools such as coding assistants, automation scripts, and knowledge Q&A systems
- Support the development of LLM-based applications (e.g., prompt optimization, lightweight RAG pipelines)
- Contribute to initiatives that improve engineering efficiency and developer experience
- Help test, iterate, and document internal AI tools and platforms
- Research and experiment with emerging AI technologies and use cases
What We're Looking For
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science or a related field
- Proficiency in at least one programming language (Python preferred)
- Strong fundamentals in programming and problem-solving
- Interest in AI, especially large language models (LLMs)
- Experience using tools like ChatGPT, Copilot, or similar
- Familiarity with basic software development workflows (e.g., Git, debugging)
- Good communication skills and willingness to learn
Bonus Points
- Experience with AI-related projects (e.g., chatbots, NLP, automation tools)
- Exposure to Prompt Engineering or AI-assisted development workflows
- Coursework or basic knowledge in machine learning or NLP
- Personal projects, technical blogs, or GitHub portfolio
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What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
