Staff Research Engineer, SDK Apps - Equity & Frontier AI

Ephapsys

San Francisco (CA)

On-site

USD 180,000 - 240,000

Full time

14 days+
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Job summary

Ephapsys is seeking a Staff Research Engineer, SDK Applications to build practical SDK applications powered by the Ephapsys platform. This role bridges research innovation with real-world deployment through reference implementations and agent architectures.

You will collaborate with the Staff Research Engineers and Head of Platform Operations to validate SDK capabilities, stress-test model behavior, and develop reusable agent frameworks that accelerate adoption.

Qualifications

  • Bachelor in Computer Science or related field.
  • Strong experience building AI applications or agents.
  • Proficiency in Python and modern AI/ML tooling.
  • Experience with LLM frameworks, agent orchestration, or RAG systems.
  • Experience integrating APIs and building modular AI systems.
  • Ability to rapidly prototype and iterate on AI-driven applications.

Responsibilities

  • Agent & Application Development: Build AI agents powered by Ephapsys SDK.
  • SDK Validation & Feedback: Stress test features and provide actionable feedback.
  • Developer Experience: Create example apps, tutorials, and onboarding guides.
  • Collaboration: Work with research engineers and platform team to apply model capabilities.

Skills

AI applications
Python programming
LLM frameworks
Agent orchestration
API integration
Rapid prototyping

Education

Bachelor in Computer Science
Master or PhD in CS/ML

Tools

PyTorch
TensorFlow
SDK platforms
Developer tooling

Job description

Ephapsys is seeking a Staff Research Engineer, SDK Applications to build practical SDK applications powered by the Ephapsys platform. This role bridges research innovation with real-world deployment through reference implementations and agent architectures.

You will collaborate with the Staff Research Engineers and Head of Platform Operations to validate SDK capabilities, stress-test model behavior, and develop reusable agent frameworks that accelerate adoption.

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