$120,000–$200,000
Software Engineer, Agent
Posted by Bluenote · open on Ashby as of
Pay not postedSan Francisco, CAOn-siteFull-time
This client-facing software engineering role builds and deploys AI-powered workflows for life sciences clients, translating their processes into software and evaluation datasets.
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At a glance
Posted base pay
Not posted
Median $190K
Senior FDE postings1,864 postings · middle 50% of posted pay$160K–$220KThe work
Builds what the customer runs
Balance Mostly building
Project stages
- Pre-sales (not covered)
- Proof of concept (not covered)
- Implementation
- Operations
- Coding
- Writes production code
- Builds for
- External customers
- Level
- Senior
- Role
- Individual contributor
What they ask for
Experience
Background
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The job description from Bluenote
Posted by Bluenote on
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/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.
About Bluenote
Builds AI software that automates scientific, regulatory, clinical, and quality workflows for life sciences organizations.
10–50 people
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