AI Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $165k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

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Nsight Health

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

💼 Consulting

📦 Logistics

🏥 Healthcare

💰 $75k Seed Round - Nsight Health on 2024-02

Consulting • Logistics • Healthcare

<Nsight Health> is a healthcare technology and services company that provides fully managed remote care programs — including Remote Patient Monitoring (RPM), Chronic Care Management (CCM), Principal Care Management (PCM), Behavioral Health Integration (BHI), and Remote Therapeutic Monitoring (RTM). Nsight partners with providers, health systems, ACOs, health plans, and life sciences organizations to deliver 24/7 clinically managed monitoring using FDA‑cleared devices, multi‑EHR integrations, and a U. S. -based clinical team, with turnkey enrollment, device logistics, and CMS-compliant documentation and reimbursement support. The company emphasizes outcomes, scalability, pay-for-performance models, and white‑label options for practices seeking to expand remote care without increasing internal staff or infrastructure.

📋 Description

• Own the technical operation and continuous improvement of Nsight Health's AI phone agents for inbound and outbound patient calls • Serve as technical liaison between Nsight Health and the IVA provider • Translate clinical and operational requirements into provider direction and communicate provider capabilities internally • Manage provider performance against quality and HIPAA compliance standards • Define acceptance criteria and build layered test harnesses for provider releases • Configure and tune AI phone agents to meet clinical and operational goals • Influence the provider's NLU engine design, tuning, accuracy, and continuous iteration • Build and own alerting by scraping provider data, classifying failure patterns, and firing automated alerts • Architect AI-driven quality intelligence pipelines that proactively surface failures and route them to owners • Build PHI-safe audio processing pipelines using local speech-to-text and in-memory PHI redaction • Maintain HIPAA-compliant data handling across AI pipelines and BAA-covered third-party integrations • Build AI-native tooling such as semantic search, vectorized data processing, and automated alerting • Report to the VP of Engineering and work closely with the EVP of Patient Experience and R&D team • Improve voice interaction outcomes for thousands of Medicare patients across 350+ clinics

🎯 Requirements

• 4+ years of ML or AI engineering experience • At least 2 years working directly with production LLM integrations in systems serving real users • Deep NLP/NLU expertise, including intent recognition, entity extraction, and utterance design • Production voice AI experience with speech-to-text, TTS, or conversational AI with NLU • Production NLU training and tuning experience, including training data pipelines, utterance sets, accuracy measurement, and iteration • Healthcare data fluency, including claims data, RPM vitals streams, EHR data models, and AI on HIPAA-covered patient data • Hands-on multi-agent system design experience • Prompt engineering for classification and structured output at production volume • PHI-safe AI pipeline design, including in-memory redaction, local inference, and data minimization • Fluency with Anthropic Claude API, AWS Bedrock, and OpenAI API • Experience with vector and embedding infrastructure such as pgvector or Pinecone • Experience with agent and orchestration frameworks such as LangChain, LlamaIndex, or CrewAI • PostgreSQL and SQL fluency • Experience with alerting and issue-routing tools such as Jira API, Slack webhooks, or PagerDuty • Telephony platform familiarity, such as Five9 or Twilio • Daily demonstrated use of Claude Code, GitHub Copilot, or equivalent AI-assisted development tools; hard requirement • Bachelor's degree in Computer Science, Engineering, or a related field is preferred; relevant experience weighted heavily over educational credentials • Preferred: Whisper, Deepgram, AWS Transcribe, or TTS providers • Preferred: clinical or regulated audio context experience • Preferred: Tray.io workflow automation and integration experience • Preferred: AWS Glue and Apache ecosystem experience, including Airflow, Kafka, or Spark

🏖️ Benefits

• Eligible for an annual performance-based bonus based on company and individual performance • PTO accrual based • Medical insurance options • Dental insurance options • Vision insurance options • Supplemental insurance options • 401(k) plan with 3.5% company match • Company-provided equipment