Our client is seeking a Full-Stack AI Engineer to design, build, and deploy AI-powered applications, bridging software engineering with applied machine learning. The role requires 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 (RAG)
- Build ETL pipelines for ingesting, cleaning, and transforming text, image, or structured 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
- Ensure responsive, intuitive, and secure interfaces for end users
- 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 (GDPR, HIPAA, SOC 2)
- Implement rate limiting, access control, and secure API endpoints
- Work 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
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance
Originally posted on Himalayas