6 часов назад
AI Engineer (LLM Agents)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (LLM Agents) (LLM/Healthcare): Building and operating production LLM agents and assistants for telehealth infrastructure with an accent on agent orchestration, evaluation, retrieval, observability, and patient-data protection. Focus on designing reliable runtimes, measuring AI quality, integrating governed healthcare data, and controlling security and operational risks in production.
Location: United States — Remote
Company
builds telehealth support solutions and healthcare infrastructure for virtual care delivery across all 50 states.
What you will do
- Build and operate production LLM-based agents and assistants used by real customers.
- Design agent runtimes and orchestration for tool calls, context management, handoffs, retries, timeouts, failure handling, and sandboxing.
- Create evaluation datasets, test harnesses, regression tests, and AI-graded evaluations to measure quality and catch regressions.
- Integrate multiple model providers, manage upgrades and fallbacks, and improve observability and cost attribution.
- Connect agents to company data through retrieval-augmented generation, context design, and prompt engineering.
- Partner with operations, product, data platform, and clinical stakeholders to design workflows, protect patient data, and determine when agents should escalate to people.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- 5–15+ years of software engineering experience and hands-on experience running production LLM systems relied on by real users.
- Strong depth in at least one area: agent runtime, evaluation, retrieval, or observability and cost.
- Strong production engineering fundamentals across testing, debugging, services, APIs, deployment, and on-call operations.
- Experience handling sensitive data with a security-first mindset and comfort working in greenfield environments.
- Must be based in the United States; the role is remote.
Nice to have
- Healthcare, finance, or insurance experience, including PHI or HIPAA.
- Production experience with Google Cloud Platform.
- Experience migrating systems between model versions or providers.
- Classic machine learning experience beyond LLMs or experience building internal engineering platforms.
- For Senior Staff level: experience leading technical direction and growing one pod into multiple teams.
Culture & Benefits
- Relatively flat organizational structure with autonomy to contribute ideas and make decisions.
- Values centered on autonomy, competence, and belonging.
- Medical, dental, and vision plans for salaried positions.
- Flexible Spending Accounts or Health Savings Accounts, flexible PTO, and 401(k) with company match.
- Life insurance, pet insurance, and additional benefits.
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