Hybrid Applied AI Engineer for Healthcare Platform

Indigo

San Francisco (CA)

Hybrid

USD 150,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Medical insurance through Blue Shield
Dental and vision insurance
Unlimited PTO
Hybrid work: three days per week in SF
Lunch in the office
Competitive equity package
High-ownership culture

Job summary

Indigo is building an agentic platform at the intersection of medicine and law to transform high-stakes casework into structured, actionable context. We ship across the full stack, from agent architectures to the surfaces users interact with, focusing on reliability and thoughtful engineering.

As a software engineer, you will impact workflows, evals, and data flows, shaping the way physicians and operators interact with the platform and harness its capabilities.

Qualifications

  • Engineer for correctness and reliability.
  • Excited to work with frontier models and care about evals and guardrails.
  • Able to ship high-quality code fast without a detailed spec.
  • Own problems end-to-end from logic to user interface.
  • Care about craft and useful design for users.
  • Willing to work toward a long-term horizon with the team.

Responsibilities

  • Building and shipping new workflows that advance case processing, guided by physician or ops input.
  • Designing the eval framework to judge agent reliability and feeding feedback into the knowledge base.
  • Improving data ingestion, indexing, and assembly of case context for agents.
  • Adding tooling to user interfaces to expose more platform context and capabilities.
  • Iterating features with user feedback to refine agent behavior.

Job description

Indigo is building an agentic platform at the intersection of medicine and law to transform high-stakes casework into structured, actionable context. We ship across the full stack, from agent architectures to the surfaces users interact with, focusing on reliability and thoughtful engineering.

As a software engineer, you will impact workflows, evals, and data flows, shaping the way physicians and operators interact with the platform and harness its capabilities.

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