Artera
Associate AI Builder
$80K–$140K
Seattle, Washington +2 · On-site · Full-time · Posted Jul 31, 2026
- Location
- Seattle, Washington
Santa Barbara, California
Kansas City, Missouri - Experience
- 0–3 years in software engineering, data science, machine learning, product management, product design, or technical project management; or equivalent demonstrated output. Open to fresh graduates.
- Visa sponsorship
- Applicants must have full-time, long-term authorization to work in the United States. Visa sponsorship and visa transfers are not available now or in the future.
About the job
Build and operate customer-specific AI agent systems that improve healthcare workflows and patient experiences, from discovery and onboarding through production support and continuous improvement.
What you'll do
- Own delivery and outcomes for named customers, including discovery, solution planning, onboarding, and customer communication.
- Architect and code agentic solutions, connect data pipelines, and monitor and improve production reliability.
- Contribute to squad planning and mentor newer builders.
What they ask for
- 0–3 years of relevant professional experience, or equivalent demonstrated output; fresh graduates are welcome.
- AI-native fluency using tools such as Claude Code in the terminal as a primary working environment, with measurable leverage and ability to learn quickly.
- Ability to work directly with customers and translate conversations into technical decisions.
- Strong written and verbal communication, with ability to scope, sequence, and deliver work.
Nice to have
- Experience in healthcare technology, digital health, or patient-facing products.
- Experience with production agentic systems, RAG pipelines, MCP-based tool integrations, compliance, EHR/CCaaS integrations, or LLM evaluation.
Pay
USD 80,000–140,000 (per-year-salary)
Tools
Claude Code, RAG, MCP, Epic, athena, eClinicalWorks, NextGen, CCaaS
AI focus
Build, operate, and improve customer-specific agentic systems for healthcare workflows, using AI-native tools and internal agentic systems.
Model-written summary · the original posting is authoritative