Founder @ VectorShift(YC): No‑Code AI Platform | Ex‑McKinsey | Statistics @ Harvard
About the role
VectorShift is a No‑Code Generative AI Platform.
As a Backend Engineer you will build new features and improve existing VectorShift product lines such as enhancing workflow run efficiency, scaling the platform, integrating new AI developments, and managing database infrastructure.
This will be a challenging and dynamic role, and you’ll work at the forefront of distributed systems infrastructure and AI.
Along with building product lines, you can also expect to:
- Build integrations of the VectorShift platform with third‑party applications.
- Talk with customers to understand core pain points and iterate on feature requests.
- Contribute to customer support for the products you build.
- Stay up to date with the latest AI developments to integrate new capabilities.
Responsibilities:
- Work directly with the founders to conceptualize and implement sub‑products and features end‑to‑end.
- Lead technical architecture decisions, ensuring the platform is scalable and maintainable.
- Drive forward performance optimization.
- Establish foundational technical practices that guide future team members.
Requirements:
- Degree in a technical discipline, preferably computer science.
- Experience with Python/ FastAPI.
- Understanding of performance optimization best practices.
- Strong communication skills and ability to work in high‑paced environments.
- Excellent problem‑solving skills and proven ability to overcome challenges.
Nice to Have:
- Experience in early‑stage startup environments.
- Experience with no/low‑code platforms.
- Experience in AI, machine learning, and building RAG workflows.
About the interview
- 15‑minute behavioral interview with Albert Mao
- Take‑home assessment
- 45‑minute technical discussion with Alex Leonardi
About VectorShift
VectorShift provides tooling to create custom AI workflows quickly. End‑users can run and modify pipelines using our no‑code platform, and developers can ship complex production‑grade AI chains directly to end‑users using our API and SDK. In addition to expanding our core platform, we are working with several >$1bn revenue enterprises to pilot our solutions for specific high‑impact use cases.
Seniority level
Entry level
Employment type
Full‑time
Industries
Technology, Information and Internet
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