AI Engineer

AI Engineer

Remote
Employment Type: Full-Time | Individual Contributor

About Nsight Health

Nsight Health is transforming how care is delivered through Remote Patient Monitoring (RPM), Chronic Care Management (CCM), and Behavioral Health Integration (BHI). We empower healthcare providers to manage chronic conditions using real-time data, AI-enabled technology, and 24/7 clinical support. Our HIPAA-compliant platform connects patients and care teams nationwide—improving outcomes, adherence, and peace of mind. Join a fast-growing, mission-driven team that blends healthcare and technology to make a measurable difference in people’s lives.

Nsight Health — Where Technology Meets Compassion.

Position Summary

We are seeking an AI Engineer to own the technical operation and continuous improvement of Nsight's AI phone agents — the automated voice systems handling outbound and inbound patient calls across RPM and care management programs. This is not a passive vendor oversight role. You will be the hands-on operator of the system: fluent in the provider's UI, API, and webhook integrations, holding them to quality and HIPAA compliance standards, and driving measurable improvement in clinical voice interaction outcomes.

Reporting to the VP of Engineering, you will work closely with the EVP of Patient Experience and the R&D team to configure and tune AI phone agents, build PHI-safe audio processing pipelines, architect quality intelligence systems, and automate downstream action on detected failures — before anyone has to find them manually. This role operates inside an organization that runs at an AI-to-human engineering output ratio most teams haven't attempted. AI agents are first-class contributors to the pipeline here. You are expected to build and operate within that model from day one.

AI Fluency Requirement - Non-Negotiable

Nsight Health is an AI-first organization. Every member of our leadership and operations team is expected to actively use AI tools in their day-to-day work - not as a novelty, but as a core productivity multiplier. This role requires genuine curiosity about AI, comfort experimenting with tools like Claude, ChatGPT, and workflow automation platforms, and the judgment to know when AI helps and when it doesn't. If AI makes you uncomfortable, this is not the right role.


Key Responsibilities

Vendor & Provider Management: Serve as the technical liaison between Nsight and the IVA provider; translate clinical and operational requirements into clear direction for the provider and their capabilities back to internal stakeholders. Manage day-to-day performance against quality and HIPAA compliance standards and drive resolution when expectations aren't met. Define acceptance criteria and build layered test harnesses for all provider releases before they touch production clinical workflows or patient data.

AI Phone Agent Configuration & Optimization: Rapidly become an expert in the provider platform; configure and tune AI phone agents to meet clinical and operational goals. Actively influence the provider's NLU engine design — working alongside their team on tuning, accuracy, and continuous iteration until the IVA agents are best in class for clinical voice interactions.

Alerting & Quality Intelligence: Build and own the alerting layer: continuously scrape provider data, classify failure patterns, and fire automated alerts before issues require manual intervention. Architect AI-driven quality intelligence pipelines that surface failures proactively and route them to the right owner without manual triage.

PHI-Safe Pipeline & Compliance: Build PHI-safe audio processing pipelines using local speech-to-text so recordings never leave the infrastructure, with PHI redacted in memory before anything reaches storage. Maintain HIPAA-compliant data handling across all AI pipelines and BAA-covered third-party integrations.

AI-Native Tooling: Build the tooling the work requires — semantic search, vectorized data processing, automated alerting, or whatever approach best fits the problem. Outcomes matter, not the stack.

The Impact You’ll Make

Patient Experience at Scale: The AI phone agents you configure and optimize are the first touchpoint for thousands of Medicare patients across 350+ clinics — your work directly shapes their care experience.

Compliance by Design: By building PHI-safe pipelines and holding the provider to documented HIPAA standards, you protect both patients and the organization from the ground up.

AI Operations Pioneer: You will define what production-grade AI voice operations looks like in a regulated healthcare environment — building the alerting, quality intelligence, and automation infrastructure that keeps it running without manual oversight.

Qualifications

Required:

• 4+ years of ML or AI engineering experience, with at least 2 years working directly with production LLM integrations in systems serving real users — not research models or demos

• Deep NLP/NLU expertise: intent recognition, entity extraction, utterance design, and understanding of how NLU accuracy degrades in production without active maintenance

• Voice AI experience in a production environment: speech-to-text, TTS, or conversational AI with NLU at its core

• NLU training and tuning in production: managed training data pipelines, designed utterance sets, measured accuracy against real interactions, and iterated based on results

• Healthcare data fluency: claims data, RPM vitals streams, EHR data models, and experience running AI on HIPAA-covered patient data

• Hands-on experience with multi-agent system design including specialist agents, adversarial review layers, and orchestration patterns at scale

• Prompt engineering for classification and structured output at production volume: severity calibration, JSON response enforcement, and iterative refinement driven by precision/recall data

• PHI-safe AI pipeline design: in-memory redaction, local inference where required, and data minimization patterns

• LLM platform fluency: Anthropic Claude API, AWS Bedrock, and OpenAI API

• Vector and embedding infrastructure: pgvector, Pinecone, or comparable

• Agent and orchestration frameworks: LangChain, LlamaIndex, CrewAI, or equivalent

• PostgreSQL and SQL fluency; alerting and issue routing tooling (Jira API, Slack webhooks, PagerDuty, or equivalent)

• Telephony platform familiarity: VoIP systems such as Five9, Twilio, or equivalent

• Daily, demonstrated use of Claude Code, GitHub Copilot, or equivalent AI-assisted development tools. This is a hard requirement.

Preferred:

• Voice and speech tooling: Whisper, Deepgram, AWS Transcribe, or TTS providers; experience in a clinical or regulated audio context

• Tray.io workflow automation and integration experience

• AWS Glue and Apache ecosystem experience (Airflow, Kafka, Spark) for data pipeline and orchestration work

• Bachelor's degree in Computer Science, Engineering, or a related field. Relevant experience will be weighted heavily over educational credentials alone.

Compensation & Benefits

• Competitive base pay: $160,000 - $1650,000 annually. 

Additional Compensation:

• Performance-Based Bonus: Eligible for an annual bonus based on company and individual performance.

Benefits Include:

• PTO Accrual Based

• Medical, Dental, Vision, and supplemental insurance options

• 401(k) Plan with 3.5% Company Match

• Company-provided equipment

Join Our Mission-Driven Team

At Nsight Health, you'll be part of a fast-growing organization that sits at the intersection of healthcare, technology, and compassion. We're looking for an AI Engineer who takes pride in production-grade work, operates with precision in a regulated environment, and wants their expertise to directly improve how patients experience care.