Teladoc Health · 9 hours ago
Staff AI Engineer, GenAI
Teladoc Health is leading the next evolution of virtual care, empowering employees to help millions live healthier lives. They are seeking a Staff AI Engineer to architect and operationalize generative AI and machine learning solutions, collaborating with data scientists and engineers to design and deploy AI/ML pipelines.
Health CareMental HealthmHealthPrimary and Urgent CareTelehealthWellness
Responsibilities
Operationalize GenAI and LLM applications, leveraging RAG (retrieval-augmented generation), vector search, prompt engineering, agentic AI, and MCP (Model Context Protocol)
Lead the design, development, and deployment of production-grade LLM and ML pipelines, including data transformation, feature engineering, training, tuning, and serving
Architect scalable data and AI workflows on Snowflake, Databricks, and Azure ML, integrating AI models with modern data lakehouse platforms
Build and maintain API-based AI services (FastAPI, Flask), enabling secure, performant, and reliable model access at scale
Define and implement CI/CD pipelines for GenAI and ML services, using GitHub Actions/Azure DevOps, MLFlow, and container orchestration (Kubernetes, Docker)
Develop and enforce MLOps/LLMOps best practices, including experiment tracking, model versioning, observability, and governance
Mentor ML engineers and data scientists on engineering rigor, scalable design, and production-readiness
Partner with cross-functional teams to integrate AI services into products, ensuring security, compliance, and resilience in regulated healthcare environments
Troubleshoot production AI systems, analyzing inference latency, drift, and performance issues, and implementing preventive solutions
Document and communicate architecture patterns, operational standards, and AI development frameworks across the organization
Qualification
Required
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, with proven success in 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 (LangChain, MCP, or similar frameworks)
Experience with Snowflake or Databricks, using one or both as core platforms for data processing or AI/ML workloads
Proven track record in MLOps/LLMOps, including CI/CD pipeline automation, model serving, monitoring, and governance, using modern AI infrastructure tools such as Docker, Kubernetes, Azure ML, MLflow, and Terraform
Proficiency in Python and SQL, with experience processing high‑volume datasets using big‑data tools such as Spark or equivalent distributed systems
Ability to collaborate in cross-disciplinary teams (engineering, product, compliance, security) and deliver impact in regulated industries
Preferred
Excellent communication skills to articulate complex GenAI/ML concepts to diverse audiences
Strong leadership and mentorship abilities, fostering technical growth across teams
Understanding of API-driven AI development, including Python-based API frameworks (FastAPI, Flask) or equivalent experience working with API development workflows
Certifications in Snowflake, Databricks, Azure ML, or AI/ML platforms preferred
Experience in healthcare AI applications and regulated AI deployment
Benefits
Performance bonus
Inclusive benefits program centered around you and your family
Company
Teladoc Health
Teladoc is a telehealth platform that offers primary care, mental health, and chronic condition management services for patients.
Funding
Current Stage
Public CompanyTotal Funding
$172.85MKey Investors
Silicon Valley BankIcon VenturesKleiner Perkins
2016-07-12Post Ipo Debt· $80M
2015-07-01IPO
2014-09-18Series C· $50.25M
Leadership Team
Recent News
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2026-01-22
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2026-01-12
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