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Software Engineer, Agent

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Bluenotehealth
Full Time position
Listed on 2026-01-02
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below

The Role

You'll work directly with life sciences clients to understand their pain points and implement AI-powered solutions using the Bluenote platform. You'll design and build workflow automation and help bring life-saving therapies to patients faster.

This role is ideal for technically strong individuals with a product mindset who thrive in client-facing, fast-paced environments and are excited to be at the forefront of real-world LLM applications.

This is a great opportunity for those who aspire to be entrepreneurs or technical leaders.

What You’ll Do
  • Work directly with clients and subject matter experts to understand their processes and needs, codifying this into software and evaluation datasets.
  • Build and customize AI workflows using LLMs and agentic frameworks.
  • Own end-to-end deployments from prompt crafting to evaluation.
  • Iterate quickly with users to improve output.
  • Serve as a bridge between customer needs and Bluenote’s platform capabilities.
Who You Are
  • Entrepreneurial and excited to build a high-growth startup.
  • Strong communicator with experience working across technical and non-technical teams.
  • Comfortable navigating ambiguity and rapidly evolving requirements.
  • Curious about how AI and LLMs can transform the life sciences industry.
  • Exhibits thoroughness and precision.
What You Bring
  • 5+ years of post-college experience in software engineering, or a related field.
  • Proficiency in Python and/or JavaScript/Type Script.
  • Experience in leading major product launch and/or customer implementations
  • Hands-on experience crafting prompts and building with LLMs.
  • Solid understanding of systems thinking and problem decomposition.
  • Prior customer-facing or consulting experience is a strong plus.
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