1158 Senior AI Developer

About the role

Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is looking for a  AI Developer (LLM / RAG / Agentic AI)  to join its innovative team. Candidate Profile: Senior AI Developer with 8+ years of experience. Strong Python expertise and hands-on experience with LLMs, Generative AI, RAG architectures, Agentic AI, and Multi-Agent Systems. Experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure App Service, Azure Functions, LangChain, LangGraph, Semantic Kernel, AutoGen, and CrewAI. Knowledge of CI/CD, Docker, GitHub Actions, and Azure DevOps. US citizenship is required. English level B2+. Core Skills: Python, LLMs, Generative AI, RAG, Vector Databases, Agentic AI, Multi-Agent Systems, Azure AI Stack, LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, CI/CD, Docker, GitHub Actions, Azure DevOps. Project Responsibilities: • Design and develop AI-powered applications using Large Language Models (LLMs). • Build Retrieval-Augmented Generation (RAG) solutions using embeddings, vector databases, and enterprise knowledge sources. • Develop Agentic AI applications with autonomous planning, reasoning, and tool usage. • Design and implement multi-agent orchestration frameworks where multiple AI agents collaborate to execute complex workflows. • Deploy and manage AI solutions using Azure AI Foundry, Azure OpenAI, Azure AI Search, and Azure App Service. • Build APIs and backend services using Python. • Collaborate with architects, product teams, and business stakeholders to deliver production-ready AI solutions. • Participate in architecture discussions and contribute to AI best practices and technical standards. Duration: 6 months+ and more Candidate's Portrait: Experience: 8+ years US citizenship is mandatory. Must-haves: • Strong proficiency in Python. • Hands-on experience with LLMs and Generative AI solutions. • Experience implementing Retrieval-Augmented Generation (RAG) architectures. • Knowledge of Agentic AI concepts and Multi-Agent Systems. • Experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure App Service, Azure Functions, Azure Storage, and Azure Key Vault. • Practical experience with LangChain, LangGraph, Semantic Kernel, AutoGen, and/or CrewAI. • Experience with vector databases and embedding-based search solutions. • Knowledge of CI/CD pipelines, Docker, GitHub Actions, and Azure DevOps. • Experience building REST APIs and backend services using Python. Nice to Have: • Experience working in enterprise AI projects. • Knowledge of prompt engineering and evaluation frameworks. • Experience with monitoring, observability, and AI