1158 Senior AI Developer

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., 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 aAI 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