Generative AI Engineer
Core
Design, develop, and deploy Generative AI applications using LLMs, RAG, and Agentic AI systems to solve business problems.
Role type
Generative AI Engineer
Builds
AI-powered assistants, copilots, conversational systems, and scalable backend services
Domain
Generative AI, Large Language Models, Agentic AI
Deliverable
production ML models | product features
Required skills
Python, API Development, Backend Development, Git, Prompt Engineering, Function Calling, Model Evaluation, RAG, Agentic AI Systems, Vector Databases, SQL Databases, NoSQL Databases, Graph Databases, Embeddings, Semantic Search, Hybrid Search, Data Processing
Preferred skills
Cloud platforms (AWS, Azure, GCP), Containerization (Docker), Enterprise integration, Document intelligence
Technologies
LLMs, RAG, Agentic AI, Vector Databases, SQL, NoSQL, Graph DBs, Docker, AWS, Azure, GCP
Responsibilities
Design and maintain Generative AI applications powered by LLMs; Build and optimize RAG systems; Develop Agentic AI solutions for reasoning and automation; Integrate AI applications with external APIs and databases; Build data ingestion and knowledge management pipelines; Implement semantic and vector search solutions; Conduct model evaluation and prompt optimization.
Seniority
Mid-level (2-4 years experience)