Genios AI

Engineering Intern

Genios AI

internship

Posted on:

Location Type: Hybrid

Location: Santa Clara • California • United States

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Job Level

Entry Level

Tech Stack

CloudJavaScriptPythonReactTypeScript

About the role

  • Build and improve production-grade software across frontend, backend, data, or AI systems
  • Develop APIs, services, orchestration layers, or data pipelines using Python and modern cloud tools
  • Create intuitive and responsive user interfaces using React, TypeScript, and modern frontend frameworks
  • Work with AI/ML pipelines, including GenAI workflows, LLMs, RAG systems, and agent-based architectures
  • Design clean abstractions and APIs, translating complex technical or financial logic into maintainable code
  • Collaborate with engineers, product managers, designers, and domain experts to solve real customer problems
  • Prototype ideas, gather feedback, and iterate—while learning how systems scale in production
  • Gradually take ownership of components as your confidence and experience grow

Requirements

  • Currently pursuing or recently completed a BS or MS in Computer Science, Mathematics, Statistics, or a related field
  • Comfortable with at least one programming language (e.g., Python, JavaScript, or TypeScript)
  • Curious about building real systems and excited to learn how production software works
  • Familiar with software engineering basics like version control, testing, and clean code—even if mostly through projects or coursework
  • Able to think in terms of problems and interfaces, not just implementations
  • Comfortable asking questions, learning from feedback, and iterating quickly
  • Interested in startups, ownership, and working in fast-moving environments.
Benefits
  • Unlimited PTO
  • Access to AI coding and productivity tools
  • Hybrid / remote flexibility (within US timezones only)
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonJavaScriptTypeScriptAPIsdata pipelinesAI/MLGenAI workflowsLLMsRAG systemsorchestration layers
Soft Skills
collaborationproblem-solvingcuriosityadaptabilityfeedback receptivenessiterationownershipcommunicationcritical thinkinglearning