Senior Software Engineer, AI Engineer

vibehackers

San Francisco (CA)

Híbrido

USD 170.000 - 210.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Hybrid office model

Descripción de la vacante

vibehackers seeks a Senior Software Engineer (AI) to design, build, and operate LLM-powered features for healthcare workflows. You will lead end-to-end AI initiatives, including prompting, retrieval, agents, evaluation, and production operations in a hybrid Palo Alto / San Francisco environment.

You will collaborate with clinical, product, and safety teams to ensure safety and measurable outcomes, while mentoring others and staying current with AI tooling such as Claude Code, Cursor, and Copilot.

Formación

  • 6+ years of software engineering with production LLM/ML features.
  • Strong Python coding and full-stack familiarity where needed.
  • Hands-on with AI system design (retrieval, orchestration, evaluation).
  • Proficient in explaining model behavior to non-technical stakeholders.

Responsabilidades

  • Design, build, and ship end-to-end LLM-powered features for healthcare workflows.
  • Develop evaluation harnesses and feedback loops for safe deployments.
  • Integrate AI capabilities into clinician, patient, and operational workflows.
  • Collaborate with clinical, product, and safety stakeholders to define success.
  • Contribute to AI engineering practices and tooling.
  • Stay updated on research and operationalize relevant advances.

Conocimientos

Python
LLM/ML features
System design
Prompt design
Evaluation & safety
Mentorship
Cross-functional collaboration

Herramientas

Claude Code
Cursor
Copilot

Descripción del empleo

Explicitly requires vibe-coding skills and use of AI assistants (Claude Code, Cursor, Copilot) for fast, AI-native development.

About the Role

Senior Software Engineer focused on building and shipping production LLM-powered features for healthcare workflows. The role combines end-to-end AI feature development (prompting, retrieval, agents, evaluation, and production ops) with cross-functional partnership in a hybrid Palo Alto / San Francisco environment.

Job DescriptionRole

Senior Software Engineer (AI) responsible for designing, building, and operating LLM-powered features and systems that improve clinician and patient experiences in healthcare. Work spans prompt design, retrieval, tool use, agents, evaluation, and production operations with a strong emphasis on safety and measurable outcomes.

Key Responsibilities
  • Design, build, and ship LLM-powered features end-to-end: prompt design, retrieval, tool use, agents, evaluation, and production operations
  • Build evaluation harnesses and feedback loops for responsible AI feature deployment
  • Integrate AI capabilities into patient, clinician, and operational workflows
  • Partner with clinical, product, and safety stakeholders to define success criteria and ensure safety
  • Contribute to internal AI-for-engineering practices and tooling
  • Keep abreast of research and ecosystem developments and operationalize relevant advances
Requirements
  • 6+ years of software engineering experience with recent, meaningful time building production LLM/ML features
  • Strong hands-on coding skills in Python; comfortable across the full stack when required
  • Seasoned at system design for AI systems (retrieval, orchestration, caching, evaluation, cost and latency tradeoffs)
  • Deep, hands-on command of modern AI coding tools (e.g., Claude Code, Cursor, Copilot) and rapid adoption of new techniques
  • Strong mentorship instincts and collaborative communication skills; able to explain model behavior to non-technical stakeholders
  • Rigorous about evaluation and safety in production; avoids “vibes-only” launches
Nice to Have
  • Experience with healthcare, clinical NLP, or regulated AI deployments
  • Experience building agentic systems or production RAG at scale
Interview Process
  • Hiring Manager Screen (45 min)
  • Live Technical Assessment (3 sessions: 150 min)
  • On-Site Interview and Lunch (4 sessions: 150 min)
Compensation & Logistics
  • Estimated salary range: $170,000 - $210,000 per year
  • Full-time, W-2 role
  • Hybrid by design: two days/week in-office (Tuesday and Thursday) in Palo Alto or San Francisco
  • Midi cannot provide visa sponsorship; candidates must be authorized to work in the United States without sponsorship
Python Claude Code Cursor Copilot LLMs RAG Agentic systems
Skills

System Design Prompt Design Evaluation & Safety Full-Stack Development Mentorship Communication Cross-functional Collaboration Production Operations Research Awareness Clinical Domain Understanding

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