GenAI Platform Engineer — Scale Production LLMs

Teladoc Health, Inc.; New York (NY); Hybrid; USD 200,000 - 230,000; Full time

Benefits offered by this job

Flexible vacation

Paid time off

Competitive benefits

Job summary

Teladoc Health, Inc. is seeking an AI Engineer – Data & AI Platform to architect, build, and operationalize scalable generative AI and ML solutions across Snowflake, Databricks, and modern MLOps ecosystems.

You will partner with data scientists, ML engineers, and platform teams to design and deploy end-to-end AI/ML pipelines and ensure production-grade reliability for AI-driven products. The ideal candidate has 8+ years in AI/ML engineering with deep GenAI deployment expertise, API-based AI

Qualifications

• 8+ years of AI/ML engineering experience with production GenAI.
• Experience deploying LLM/GenAI and AI services at scale.
• Proficiency in Python and SQL with big-data tools.

Responsibilities

• Operationalize GenAI and LLM applications with modern MLOps practices.
• Design and deploy production-grade AI/ML pipelines end-to-end.
• Mentor engineers and collaborate with data scientists and platform teams.

Skills

GenAI deployment

RAG

Vector search

LangChain

MLOps

Python

SQL

Docker

Kubernetes

API development

Education

Bachelor's degree in CS/Engineering/ML

Tools

Snowflake

Databricks

Azure ML

MLflow

Terraform

Job description

Teladoc Health, Inc. is seeking an AI Engineer – Data & AI Platform to architect, build, and operationalize scalable generative AI and ML solutions across Snowflake, Databricks, and modern MLOps ecosystems.

You will partner with data scientists, ML engineers, and platform teams to design and deploy end-to-end AI/ML pipelines and ensure production-grade reliability for AI-driven products. The ideal candidate has 8+ years in AI/ML engineering with deep GenAI deployment expertise, API-based AI