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Senior Full-Stack Engineer (MLOps and Backend)
NEW YORK · US
—
Full-time
SENIOR
About the Role
Senior Full-Stack Engineer specializing in MLOps and backend systems to build infrastructure powering real-time patient engagement. Focus on LLM development and backend connectivity. Collaborate with cross-functional teams to deliver robust AI-driven solutions.
Responsibilities
- Design and build scalable infrastructure for LLM-based patient engagement features
- Develop and maintain backend services and APIs for connectivity
- Implement MLOps pipelines for model deployment and monitoring
- Collaborate with data scientists and engineers to integrate AI models
Requirements
- 5+ years of experience in full-stack software engineering
- Strong proficiency in Python and backend frameworks (e.g., FastAPI, Django)
- Experience with MLOps tools and practices (e.g., Docker, Kubernetes, MLflow)
- Familiarity with LLM development and deployment
- Ability to work in a fast-paced startup environment
Tech Stack
PythonLLMMLOpsKubernetesDockerBackend
UA
Undisclosed AI Startup
New York · US
The term 'Undisclosed AI Startup' refers to various different, unrelated entities rather than a single specific company. Many new ventures in the artificial intelligence sector operate in stealth mode, intentionally limiting public information regarding their branding, leadership, products, or physical locations to maintain competitive advantages.
