Senior AI Developer — LLM, RAG & Agentic AI Expert

Intetics-Inc; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Intetics Inc. is seeking a Senior AI Developer to design and implement AI-powered applications using LLMs and advanced RAG architectures in a US-based setting. The role emphasizes building agentic AI systems, multi-agent orchestration, and integration with Azure AI services.

The candidate will develop REST APIs and backend services in Python, collaborate with cross-functional teams, and contribute to AI best practices and standards across production systems.

Qualifications

• Strong proficiency in 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

REST APIs

Backend services

CI/CD

Docker

GitHub Actions

Azure DevOps

Tools

LangChain

LangGraph

Semantic Kernel

AutoGen

CrewAI

Docker

GitHub Actions

Azure DevOps

Azure AI Foundry

Azure OpenAI

Azure AI Search

Azure App Service

Azure Functions

Azure Storage

Azure Key Vault

Job description

Intetics Inc. is seeking a Senior AI Developer to design and implement AI-powered applications using LLMs and advanced RAG architectures in a US-based setting. The role emphasizes building agentic AI systems, multi-agent orchestration, and integration with Azure AI services.

The candidate will develop REST APIs and backend services in Python, collaborate with cross-functional teams, and contribute to AI best practices and standards across production systems.