AI Engineer
Core
Design and develop AI-powered systems using traditional ML and Generative AI techniques, including RAG architectures and agentic applications.
Role type
AI/ML Engineer (Generative AI & RAG)
Builds
Intelligent applications, agentic systems, and end-to-end RAG pipelines
Domain
Generative AI, Machine Learning, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, RAG architectures, Vector databases, Prompt engineering, API development, Cloud platforms (AWS/Azure), MLOps
Preferred skills
Agent frameworks (LangChain, AutoGen), MCP standards, RAG evaluation frameworks, Cloud certifications
Technologies
LangChain, LangGraph, AutoGen, CrewAI, FastAPI, Flask, Bedrock, SageMaker, Azure OpenAI, FAISS, Pinecone, Chroma, Docker
Responsibilities
Design and develop AI-powered systems using ML and GenAI techniques; Build intelligent applications and agentic systems; Architect and implement end-to-end RAG pipelines; Develop modular APIs and service components; Design, build, and manage end-to-end AI pipelines; Implement observability and monitoring mechanisms; Optimize RAG systems for latency and scalability
Seniority
Mid-level (4-6 years experience)
