AI ML Engineer
Core
Build, deploy, and operate scalable AI applications and production infrastructure, including RAG pipelines and LLM serving frameworks.
Role type
Senior IC AI/ML Engineer (Infrastructure & Deployment)
Builds
Production-grade AI solutions, automated ML workflows, and containerized infrastructure.
Domain
Enterprise AI, Cloud-Native Infrastructure, LLM Operations
Deliverable
production ML models
Required skills
Python (FastAPI, async), PyTorch, TensorFlow, scikit-learn, Linux, Docker, Kubernetes, Git, RAG pipeline design, Vector databases (Qdrant), LLM serving (vLLM, Ollama), Workflow orchestration (Kubeflow, Kuberay)
Preferred skills
Next.js/TypeScript, Prompt engineering
Technologies
FastAPI, PyTorch, TensorFlow, scikit-learn, Docker, Kubernetes, Qdrant, vLLM, Ollama, Kubeflow, Kuberay, Linux, Python
Responsibilities
Develop and operate scalable Machine Learning solutions; Automate training and deployment workflows; Design production-grade Python code with containerized architectures; Manage containerized application deployments on Linux; Build end-to-end RAG pipelines; Implement LLM serving frameworks and integrate vector databases.
Seniority
Mid-Senior, hands-on IC