1158 Senior AI Developer

Intetics; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

Intetics Inc. is seeking an experienced AI Developer (LLM / RAG / Agentic AI) to design and build AI-powered applications using leading LLMs and enterprise knowledge sources.

You will implement retrieval-augmented generation and multi-agent orchestration with Azure AI services, LangChain/LangGraph, and modern CI/CD pipelines. The role emphasizes Python development, API backends, and collaboration with architects, product teams, and stakeholders to deliver production-grade AI solutions.

Qualifications

• 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.

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.

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

Tools

Docker

GitHub Actions

Azure DevOps

LangChain

LangGraph

Semantic Kernel

AutoGen

CrewAI

Job description

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