Senior Software Engineer - AI Workflows & LLM Integrations

Vibehackers

South San Francisco (CA)

Sur place

USD 150 000 - 210 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Meaningful early-stage equity
Contract rate commensurate with опыт

Résumé du poste

Vibehackers is seeking a Senior Software Engineer for a contract-to-hire role in South San Francisco, CA. You will build AI-driven tools, visualizations, and integrations for a computational platform modeling brain health and neurodegeneration.

The role emphasizes agentic workflows, LLM integrations, and scalable software for model-enabled research and drug discovery, with on-site office presence one day per week and periodic travel for remote candidates.

Qualifications

  • BS in CS, Engineering, or related field.
  • 5+ years software development experience.
  • Experience vibe coding with frontier models.
  • Proficient in Python and JSON; API integrations.
  • Strong, well-documented code and docs.
  • Thrives in fast-moving startup with multiple priorities.

Responsabilités

  • Develop AI-driven tools, agentic workflows, and MCP-based integrations.
  • Build AI-enabled visualizations, dashboards, and automated parametric search tools.
  • Integrate and analyze external literature and data into the modeling platform.
  • Turn concepts and prototypes into scalable, extensible software solutions.
  • Document requirements, architecture and workflow descriptions, API documentation.

Connaissances

Python
JSON
API design
Documentation
Problem solving
AI/ML tooling
Chat-based interactions
Agentic workflows

Formation

BS in Computer Science / Engineering / related

Outils

LLM APIs
RAG
MCP
Open-weight LLMs

Description du poste

Vibehackers is seeking a Senior Software Engineer for a contract-to-hire role in South San Francisco, CA. You will build AI-driven tools, visualizations, and integrations for a computational platform modeling brain health and neurodegeneration.

The role emphasizes agentic workflows, LLM integrations, and scalable software for model-enabled research and drug discovery, with on-site office presence one day per week and periodic travel for remote candidates.

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