Applied AI Engineer

🕒 October 5

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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OpenLoop

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2020

💼 Consulting

⚖️ Legal

📦 Logistics

💰 $15M Series A - OpenLoop Health on 2023-03

Consulting • Legal • Logistics

OpenLoop is a white-label telehealth platform and managed services provider that helps organizations launch and scale virtual care programs. It combines SaaS-based, brandable technology (scheduling, booking, payments, EHR/API integrations) with clinical staffing, credentialing, payer coverage and RCM, regulatory/legal support, and 24/7 patient support. OpenLoop serves health plans, hospitals and health systems, retailers, employers and digital health companies with AI-powered operations, a nationwide clinician network and broad insurance coverage including Medicare and Medicaid.

📋 Description

• Build and run production LLM-based agents and assistants • Build agent runtime and orchestration, including tool calls, context handling, handoffs, failure handling, retries, timeouts, and sandboxing • Build evaluation sets, test harnesses, regression tests, and AI-graded evaluations • Work across multiple model providers, manage version upgrades, and plan provider fallbacks • Trace agent behavior, monitor production performance, and attribute AI spend to agents and use cases • Connect agents to company data using retrieval (RAG), context design, and prompt engineering • Work with operations teams to determine which workflow steps agents can perform reliably and when to escalate to people • Protect patient data (PHI), control agent access, and defend against prompt injection • Build on GCP and partner with Data Platform teams • Contribute to code and design reviews and support engineers newer to AI • Explain AI trade-offs to product, operations, and clinical stakeholders • Perform other duties as assigned

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field • 5 to 15+ years of software engineering experience • Hands-on experience building and running LLM-based systems in production that real users relied on • Senior Staff candidates typically bring 2+ years of production LLM experience • Hands-on depth in at least one core area: agent runtime, evaluation, retrieval, or observability and cost • Staff and Senior Staff candidates need depth in agent runtime or evaluation • Senior Staff candidates need a second deep area plus working knowledge across the rest • Experience measuring AI system performance with evaluation data • Strong production engineering across testing, debugging, services, APIs, deployment, and on-call • Experience handling sensitive data with a security-first mindset • Comfort working in a greenfield space • Clear communication with technical and non-technical partners • Healthcare, finance, or insurance experience preferred • GCP production services experience preferred • Experience migrating systems between model versions or providers preferred • Machine learning experience beyond LLMs preferred • Experience building internal platforms used by other engineering teams preferred • For Senior Staff, experience leading a small team's technical direction and growing a single pod into multiple teams preferred

🏖️ Benefits

• Medical, Dental, and Vision plans • Flexible Spending/Health Savings Accounts • Flexible PTO • 401(k) + Company Match • Life Insurance • Pet insurance