Staff AI Engineer, GenAI

🕒 August 4

🇺🇸 United States – Remote

💵 $200k - $230k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 18%

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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Teladoc Health

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🏥 Healthcare

👥 B2C

☁️ SaaS

💰 $80M Post-IPO Debt - Teladoc Health on 2016-07

Healthcare • B2C • SaaS

Teladoc Health is a telehealth company that connects patients with care providers through a virtual care platform offering 24/7 urgent care, primary care, mental health (therapy and psychiatry), chronic condition management (diabetes, hypertension, weight management), specialty consultations, and wellness services. It serves individuals directly and partners with employers, health plans, hospitals and health systems to deliver integrated virtual care solutions and technology at scale.

📋 Description

• Operationalize GenAI and LLM applications using RAG, vector search, prompt engineering, agentic AI, and MCP • Lead design, development, and deployment of production-grade LLM and ML pipelines • Architect scalable data and AI workflows on Snowflake, Databricks, and Azure ML • Build and maintain secure, performant API-based AI services with FastAPI and Flask • Define and implement CI/CD pipelines using GitHub Actions, Azure DevOps, MLflow, Kubernetes, and Docker • Develop and enforce MLOps/LLMOps practices for experiment tracking, model versioning, observability, and governance • Mentor ML engineers and data scientists • Partner with cross-functional teams to integrate AI services into healthcare products • Troubleshoot production AI systems, including inference latency, drift, and performance issues • Document and communicate architecture patterns, operational standards, and AI development frameworks

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, Machine Learning, or a related field; equivalent work experience is acceptable • 8+ years of experience in AI/ML engineering roles • Experience architecting and scaling production LLM/GenAI and ML systems • Experience deploying LLM and GenAI solutions, including RAG, vector database integration, and agentic/tool-augmented LLM systems • Experience with LangChain, MCP, or similar frameworks • Experience with Snowflake or Databricks • MLOps/LLMOps experience, including CI/CD automation, model serving, monitoring, and governance • Experience with Docker, Kubernetes, Azure ML, MLflow, and Terraform • Proficiency in Python and SQL • Experience processing high-volume datasets using Spark or equivalent distributed systems • Ability to collaborate across engineering, product, compliance, and security teams in regulated industries • Certifications in Snowflake, Databricks, Azure ML, or AI/ML platforms preferred • Experience in healthcare AI applications and regulated AI deployment • Currently authorized to work in the United States without current or future visa sponsorship

🏖️ Benefits

• Performance bonus • Flexible Vacation Policy • 80 hours of Paid Sick, Safe, and Caregiver Leave annually • Benefits program for employees and families • Career growth and development opportunities • Inclusive workplace and employee community