Software Engineer

ONE STOP COLLECTIBLE CORP
San Francisco, CA, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

JavaScript (Programming Language) Artificial Intelligence Python (Programming Language) Software Engineering TypeScript Large Language Models Build Management Automation Anywhere

Job description

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.

Requirements

  • 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/TypeScript.
  • 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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