Drimva

Artera

AI Builder

$150K–$200K

Seattle, Washington +2 · On-site · Full-time · Posted Jul 30, 2026

Location
Seattle, Washington
Santa Barbara, California
Kansas City, Missouri
Experience
2–5 years, or equivalent demonstrated output.
Visa sponsorship
Applicants must have full-time, long-term authorization to work in the United States. Artera cannot provide visa sponsorship or support visa transfers, now or in the future.

About the job

Build and operate AI-driven, customer-specific systems for healthcare workflows, owning delivery from customer discovery and onboarding through production improvements.

What you'll do

  • Own customer outcomes, identify pain points, and create roadmaps for solutions.
  • Architect and code agentic solutions, coordinate stakeholders and data pipelines, and onboard customers.
  • Monitor reliability, improve production systems, mentor newer builders, and contribute to squad planning.

What they ask for

  • 2–5 years of experience in software engineering, data science, machine learning, product management, product design, or technical project management, or equivalent demonstrated output.
  • Demonstrated AI-native fluency using AI-native tools as the primary working environment, with measurable leverage.
  • Track record of shipping end-to-end solutions that run reliably in production and improving them afterward.
  • Ability to work directly with customers, translate their needs into technical decisions, and communicate effectively.

Nice to have

  • Experience in healthcare technology, digital health, or patient-facing products.
  • Experience building production agentic systems, RAG pipelines, or MCP-based tool integrations; healthcare compliance, EHR/CCaaS integrations, or LLM evaluations are also listed as bonuses.

Pay

USD 150,000–200,000 per-year-salary (base salary)

Tools

Claude Code, RAG, MCP, Epic, athena, eClinicalWorks, NextGen, EHR/CCaaS

AI focus

Build and operate customer-specific agentic systems for healthcare workflows using AI-native tools; develop production agentic solutions and improve their reliability.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)