AI Developer Intern — Build Production AI & Open Source

RocketRide Inc.

San Francisco (CA)

Hybrid

USD 33,480 - 55,800

Part time

14 days+
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Benefits offered by this job

Hybrid office/remote flexibility
Mentorship from engineers and founders
Open-source project involvement

Job summary

RocketRide.ai in San Francisco is seeking an AI Developer Intern for a 3‑month term. You’ll design, build, and ship AI features, from agentic workflows to data pipelines, collaborating closely with our engineering team. This is a hands‑on role with production deployment and open‑source contributions.

The ideal candidate is pursuing CS, has hands‑on coding experience, and is excited about Generative AI and LLMs. Hybrid work and strong mentorship are offered.

Qualifications

  • Pursuing a BS/MS in computer science or related field.
  • Evidence of coding ability with demos or GitHub projects.
  • Familiarity with Python; exposure to C++ is a plus.
  • Interest in Generative AI and machine learning.
  • Public contributions to open-source projects encouraged.

Responsibilities

  • Design, build, test, and deploy AI software components and features.
  • Collaborate with engineering and founders to shape product capabilities.
  • Contribute to open-source projects and developer tooling.
  • Engage with the community through forums and events.
  • Assist with designing data pipelines and AI workflows.

Skills

Hands-on software experience
Fluency with AI tools
Understanding of LLMs
Public contributions
Python familiarity
C++ exposure

Education

Bachelor's or Master's in Computer Science or related field

Tools

Python
C++

Job description

RocketRide.ai in San Francisco is seeking an AI Developer Intern for a 3‑month term. You’ll design, build, and ship AI features, from agentic workflows to data pipelines, collaborating closely with our engineering team. This is a hands‑on role with production deployment and open‑source contributions.

The ideal candidate is pursuing CS, has hands‑on coding experience, and is excited about Generative AI and LLMs. Hybrid work and strong mentorship are offered.

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