Senior AI Developer

Intetics

. Design and develop AI-powered applications using Large Language Models (LLMs) .

Posted 9/15/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing AI-powered applications, particularly using Large Language Models and Retrieval-Augmented Generation solutions. Proficient in deploying and managing AI solutions on Azure platforms while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Senior AI DeveloperPython ProficiencyLLMs and Generative AI SolutionsAzure AI Foundry and Azure OpenAIRetrieval-Augmented Generation Architectures

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonLarge Language ModelsGenerative AIRetrieval-Augmented GenerationAgentic AIMulti-Agent SystemsREST APIsVector DatabasesEmbedding-Based SearchCI/CD Pipelines

Tools & Technologies

Azure AI FoundryAzure OpenAIAzure AI SearchAzure App ServiceAzure FunctionsAzure StorageAzure Key VaultLangChainLangGraphSemantic Kernel

Industry Keywords

Enterprise AI ProjectsPrompt EngineeringMonitoringObservabilityAI Best Practices

Tech Stack

Tools & technologies

AzureDockerPythonVault

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

Senior AI Developer with 8+ years of experience
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
US citizenship is mandatory
English level B2+
Nice to have: experience working in enterprise AI projects
Nice to have: knowledge of prompt engineering and evaluation frameworks
Nice to have: experience with monitoring, observability, and AI

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Intetics Website LinkedIn All Job Openings 501 - 1000 employees Founded 1995 💼 Consulting 🏥 Healthcare 📦 Logistics Consulting
Healthcare
Logistics Intetics is an innovative company providing custom software development services, specializing in AI and machine learning solutions. They offer Remote In-Sourcing® to build expert teams for software engineering and data processing projects, along with advanced tools like TETRA™ for software quality assessment. Intetics aims to empower businesses by leveraging high-quality data and integrating modern technologies across various industries, including healthcare, finance, and more. Senior AI Developer Job not on LinkedIn 🔥 3 minutes ago 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 🤖 AI Engineer 👻 Ghost score 15% Azure Docker Python Vault Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
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 🎯 Requirements
Senior AI Developer with 8+ years of experience
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
US citizenship is mandatory
English level B2+
Nice to have: experience working in enterprise AI projects
Nice to have: knowledge of prompt engineering and evaluation frameworks
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