3 часа назад
Senior Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Engineer (AI): Building backend and full-stack systems for production AI agents that automate high-stakes healthcare workflows with an accent on distributed systems, workflow orchestration, and runtime reliability. Focus on designing run-state management, queues, idempotency, observability, and human-in-the-loop recovery for dependable production automations.
Location: Hybrid, based in the San Francisco office
Company
is an AI-powered agentic automation platform for healthcare organizations, focused on automating administrative workflows such as prior authorizations and medical coding while keeping people in control.
What you will do
- Design and build backend and full-stack systems for AI agents and healthcare automations.
- Set technical direction for projects and product areas, including ambiguous requirements.
- Build features for automation creation, workflow pathways, testing, editing, and production run reporting.
- Improve runtime reliability through run-state management, queues, idempotency, error classification, alerts, and dashboards.
- Own critical services from architecture through deployment, monitoring, and iteration.
- Mentor teammates and improve engineering effectiveness.
Requirements
- 5+ years of software development experience.
- Experience building and owning backend systems deployed in production.
- Strong systems design skills across distributed systems, databases, APIs, queues, asynchronous workflows, and observability.
- Ability to turn ambiguous product requirements into clear technical plans.
- Experience integrating AI tools into development workflows and willingness to experiment with new approaches.
- Strong ownership, execution, prioritization, iteration, and mentoring skills.
Nice to have
- Experience building platform, infrastructure, or workflow systems at scale.
- Experience building agentic products or agent-based workflows.
- Experience integrating LLMs or AI models into production backend systems.
- Background in event-driven architectures, workflow engines, observability, or runtime reliability.
- Experience in healthcare operations or revenue cycle management.
Culture & Benefits
- Work on production-grade AI agents for the healthcare industry.
- Build systems that automate repetitive workflows while preserving human oversight.
- Join a company backed by Greylock, Coatue, and Lightspeed, with $41M raised.
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