Senior AI Engineer - Agentic Systems for Healthcare

Gravie

Minneapolis (MN)

On-site

USD 140,000 - 190,000

Full time

14 days+
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Job summary

Gravie is seeking an experienced software engineer to design and build production-grade AI agent systems that drive decision-support in healthcare and regulated environments. You will craft multi-agent workflows, retrieval and memory layers, and robust backend services, using Python and React/TypeScript to deliver user-friendly experiences.

The role emphasizes ownership from design through production, strong collaboration with cross-functional teams, and a focus on quality, security, and cost

Qualifications

  • 5+ years of software engineering experience from design to production.
  • Hands-on experience building and operating production AI applications.
  • Experience with agentic software development and AI coding agents.
  • Deep expertise in Python backend and distributed systems or React/TS product engineering.
  • Experience with retrieval/memory/evaluation/AI agent architectures and workflows.
  • Strong judgment in testing, monitoring, privacy, security, and data governance.

Responsibilities

  • Design and build production-grade AI agent systems, including multi-agent workflows and services.
  • Design retrieval, context, and memory systems for grounded AI outputs.
  • Develop AI-powered decision-support systems for healthcare/regulatory environments.
  • Develop distributed backend services, event-driven workers, APIs, and relational data models.
  • Build intuitive user experiences using React and TypeScript.
  • Establish patterns for AI quality assurance, testing, and guardrails.
  • Evaluate models for accuracy, latency, reliability, privacy and cost.
  • Mentor engineers and raise engineering standards across the team.

Skills

Software engineering
Production AI apps
Agentic development
Python backend
React + TypeScript
AI architectures
Testing & monitoring
Communication & collaboration

Job description

Gravie is seeking an experienced software engineer to design and build production-grade AI agent systems that drive decision-support in healthcare and regulated environments. You will craft multi-agent workflows, retrieval and memory layers, and robust backend services, using Python and React/TypeScript to deliver user-friendly experiences.

The role emphasizes ownership from design through production, strong collaboration with cross-functional teams, and a focus on quality, security, and cost

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