Senior AI Engineer - ML & Generative AI

VDart, Inc.

Sunrise, United States of America

2 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Sunrise, United States of America

Java

Artificial Intelligence

Amazon Web Services (AWS)

Azure

Distributed Systems

Python

Node.js

Software Engineering

Management of Software Versions

Cloud Platform System

Generative AI

Backend

Containerization

Kubernetes

Deployment Automation

Docker

8-12 years of overall software engineering experience, including prior work as an ML Engineer or equivalent.
Strong backend development skills (Python, Java, Node.js, or similar languages).
Experience designing and building REST or gRPC-based services.
Solid understanding of distributed system design.
Containerization and orchestration experience (Docker, Kubernetes).
Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP).
Experience with CI/CD pipelines and deployment automation.
Understanding of model, code, and configuration versioning best practices.
Strong ability to solve ambiguous, real-world engineering problems.
Comfortable working in fast-moving, iterative environments.
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Partner with business and product stakeholders to translate real-world problems into practical AI solutions.
Determine when to apply:
Traditional ML approaches (classification, regression, clustering, recommendation systems)
LLM / GenAI approaches, including agentic workflows
Evaluate and communicate trade-offs across accuracy, cost, latency, scalability, and operational complexity.
Design iterative AI workflows and propose alternative solution approaches where applicable.