Full-Stack AI Engineer
Core
Full-Stack AI Engineer developing scalable web applications and deploying production-ready AI/ML models, NLP pipelines, and generative AI features for cloud-native environments.
Role type
Senior Full-Stack AI Engineer (IC)
Builds
Scalable web apps, AI/ML models, NLP pipelines, and generative AI features integrated into cloud-native applications.
Domain
Cloud computing, Artificial Intelligence, Machine Learning, Web Development
Deliverable
production ML models
Required skills
Python (Django), React, AI/ML fundamentals, NLP, Generative AI, LLM integration, Vector databases, REST API design, PostgreSQL, Cloud platforms (AWS/Azure/GCP/Oracle), CI/CD automation, Docker, Kubernetes
Preferred skills
AI/ML certifications, LLM deployment experience, Infrastructure-as-Code (Terraform/Helm), Secure AI pipeline delivery
Technologies
Python, Django, React, LangChain, LangGraph, LlamaIndex, Hugging Face Transformers, PyTorch, TensorFlow, scikit-learn, OpenAI, Azure OpenAI, Anthropic, Google Gemini, Pinecone, Qdrant, Milvus, Weaviate, pgvector, Elasticsearch, Jenkins, Git, Artifactory, AWS, Azure, GCP, Oracle Cloud, Docker, Kubernetes
Responsibilities
Lead backend development in Python and frontend/UI in React; Develop, deploy, and maintain AI/ML features for production use; Integrate AI-driven functionalities into web and cloud-native applications; Design REST APIs and maintain PostgreSQL schemas; Build and automate CI/CD pipelines; Support containerization, orchestration, and application deployment.
Seniority
Senior, hands-on IC
