Our client is seeking a Full-Stack AI Engineer to design, build, and deploy AI-powered applications, combining back-end services, front-end interfaces, and machine learning pipelines to deliver practical, business-driven AI solutions.
Requirements
Deploy pre-trained and fine-tuned ML/LLM models
Wrap models in APIs for scalable inference
Implement vector search integrations for retrieval-augmented generation
Build ETL pipelines for ingesting, cleaning, and transforming data
Automate data labeling, preprocessing, and versioning with Airflow, Prefect, or Dagster
Store and manage datasets in cloud warehouses
Build front-end UIs in React, Next.js, or Vue to surface AI-powered features
Design back-end services and microservices to connect models to business logic
Containerize ML services with Docker and deploy to Kubernetes clusters
Automate CI/CD pipelines for model updates and application releases
Monitor latency, cost, and model drift with MLflow, Weights & Biases, or custom dashboards
Ensure AI systems comply with data privacy standards
Implement rate limiting, access control, and secure API endpoints
Collaborate with data scientists to productionize prototypes
Partner with product teams to scope AI features aligned with business needs
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