Artificial Intelligence Engineer
Core
Building reliable AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), tool integrations, and agentic workflows.
Role type
Applied AI Engineer (LLM & RAG implementation)
Builds
Production-ready AI application components and services
Domain
Generative AI, LLMs, RAG, Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
Python, Cloud platforms (AWS/Azure/GCP), Backend frameworks (FastAPI/Flask), SQL/NoSQL, API design, Data pipelines
Preferred skills
Prompt engineering, Vector databases, Agent frameworks (LangChain/CrewAI), RAG pipelines, Unstructured data management
Technologies
LangChain, LangGraph, CrewAI, Phidata, LlamaIndex, Pyspark, Node.js, React, Angular, FastAPI, Flask, AWS, Azure, Google Cloud
Responsibilities
Implement LLM-based applications and agentic workflows, Build and maintain RAG pipelines and vector database integrations, Develop REST APIs and backend services for AI components, Manage data preparation and workflow pipelines for AI model training
Seniority
Mid-Senior, hands-on IC