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 NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
