Full-Stack AI/ML Application Engineer
This role requires building production-grade AI/ML applications with end-to-end ownership, blending backend services, model deployment, and cloud infrastructure to optimize performance and scalability. Candidates should balance full-stack development with specialized expertise in LLMs, prompt engineering, and scalable data pipelines.
Skills required
About this role
We are seeking a Full-Stack AI Engineer to design and build end-to-end applications that integrate AI/ML and LLM capabilities into production-grade products.
Job PurposeOwn the engineering of reliable, scalable full-stack AI features—from model integration and deployment to APIs, data pipelines, performance/security optimization, and automated testing—delivering measurable improvements in accuracy, latency, and system robustness.
Job Duties and Responsibilities- Full-stack application development
- Python (backend services)
- TypeScript/JavaScript (frontend and services)
- REST/GraphQL APIs
- Machine learning model integration (PyTorch/TensorFlow)
- LLM integration and prompt engineering
- Model deployment with FastAPI and Docker
- Database design and data access (PostgreSQL/MongoDB)
- Cloud platform engineering (AWS/GCP/Azure)
- Scalable APIs ownership
- Data pipeline ownership
- CI/CD and automated testing
- Version control (Git)
- Performance optimization
- Security hardening
Qualifications
Required Qualifications
- Proficiency in Python
- Proficiency in TypeScript/JavaScript
- Experience building REST and/or GraphQL APIs
- Hands-on experience integrating ML models using PyTorch and/or TensorFlow
- Experience with LLM integration and prompt engineering
- Experience deploying models (e.g., FastAPI, Docker)
- Experience with PostgreSQL and/or MongoDB
- Experience with cloud platforms (AWS/GCP/Azure)
- Strong CI/CD fundamentals and test automation
- Solid version control skills with Git
