[Hiring] AI Engineer @Nsight Health

Role Description 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 Automate downstream action on detected failures 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 Manage day-to-day performance against quality and HIPAA compliance standards Define acceptance criteria and build layered test harnesses for all provider releases 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 Alerting & Quality Intelligence: Build and own the alerting layer Continuously scrape provider data and classify failure patterns Architect AI-driven quality intelligence pipelines PHI-Safe Pipeline & Compliance: Build PHI-safe audio processing pipelines using local speech-to-text Maintain HIPAA-compliant data handling across all AI pipelines AI-Native Tooling: Build the tooling the work requires — semantic search, vectorized data processing, etc. 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 Compliance by Design: By building PHI-safe pipelines and holding the provider to documented HIPAA standards, you protect both patients and the organization AI Operations Pioneer: You will define what production-grade AI voice operations looks like in a regulated healthcare environment Qualifications 4+ years of ML or AI engineering experience, with at least 2 years working directly with production LLM integrations Deep NLP/NLU expertise: intent recognition, entity extraction, utterance design Voice AI experience in a production environment: speech-to-text, TTS, or conversational AI NLU training and tuning in production Healthcare data fluency: claims data, RPM vitals streams, EHR data models Hands-on experience with multi-agent system design Prompt engineering for classification and structured output at production volume PHI-safe AI pipeline design 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 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 Preferred Voice and speech tooling: Whisper, Deepgram, AWS Transcribe, or TTS providers Tray.io workflow automation and integration experience AWS Glue and Apache ecosystem experience for data pipeline and orchestration work Bachelor's degree in Computer Science, Engineering, or a related field Compensation & Benefits Competitive base pay: $165,000 annually (15% bonus) Additional Compensation: Performance-Based Bonus 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. Recruitment Fraud Alert Nsight Health takes candidate safety seriously. Please be aware that fraudulent individuals may impersonate our recruiters or employees and offer fake employment opportunities. All legitimate interviews with Nsight Health are conducted through our formal hiring process, and employment offers are only extended after candidates have successfully completed required interviews and evaluations.