Full-Stack AI Engineer

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 - Document systems for reproducibility and knowledge transfer Originally posted on Himalayas