Lead AI Engineer, Healthcare & Life Sciences (Remote)

VI; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

VI is seeking a Senior Applied AI Engineer to lead production-grade AI agents for healthcare and life sciences clients. You will own data ingestion, CRM integration, and real-time agent infrastructure, shipping end-to-end solutions while ensuring HIPAA-compliant delivery.

You will work with enterprise customers to translate workflows into prompts, tools, and retrieval shapes, building guardrails and scalable deployment patterns.

Qualifications

• 5+ years in a production engineering role shipping customer-facing software.
• Fluency in modern programming languages (JavaScript/Node, TypeScript, Python).
• Experience building and operating real-time systems and high-throughput services.
• Production integration work with CRM platforms (Salesforce, HubSpot) or data platforms.
• Ability to design data pipelines, guardrails, and HIPAA-conscious workflows.

Responsibilities

• Build and deploy AI-powered voice and messaging agents for healthcare and life sciences clients, end-to-end.
• Translate client workflows into agent workflow designs and run technical sessions with client teams.
• Integrate with client data systems including CRMs, EHR/EMR, and data feeds; build ingestion pipelines.
• Write production stack in TypeScript and ML components in Python; create guardrails and integrations.
• Ensure HIPAA-compliant data access, de-identification, and data residency while offshore-friendly.
• Collaborate with product, accounts, and platform engineering to improve the platform.

Skills

JavaScript/Node

TypeScript

Python

Real-time systems

CRM integration

AWS

Tools

Salesforce

HubSpot

S3

Snowflake

Databricks

Docker

Job description

VI is seeking a Senior Applied AI Engineer to lead production-grade AI agents for healthcare and life sciences clients. You will own data ingestion, CRM integration, and real-time agent infrastructure, shipping end-to-end solutions while ensuring HIPAA-compliant delivery.

You will work with enterprise customers to translate workflows into prompts, tools, and retrieval shapes, building guardrails and scalable deployment patterns.