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# AI Developer (Agent Development | Azure AI Foundry)

- **Company:** AI Powered LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** LangGraph Framework, AI Evaluation, JavaScript (Programming Language), Microsoft Windows, Application Programming Interfaces (APIs), Artificial Intelligence, Application Services, Microsoft Azure, Microsoft Online Services, C Sharp (Programming Language), Cloud Computing, Computer Programming, Databases, Memory Management, Information Retrieval, Python (Programming Language), Microsoft Dynamics, Microsoft Software, Performance Tuning, OpenAI, Search Technologies, Software Engineering, Systems Integration, TypeScript, Enterprise Search, Pinecone, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Generative AI, Backend, Agentic-AI, Git, AI Platforms, Kubernetes, Deployment Automation, CrewAI, Weaviate, Azure OpenAI API, AutoGen, Azure AKS, Machine Learning Operations, Virtual Agents, Restful APIs, Cloud Application Development, Semantic Kernel, GPT, Api Management, Serverless Computing, Docker, AI Co-pilot, ChromaDB, Microservices
- **Published:** November 11, 2026
- **Apply:** https://www.dice.com/job-detail/d0a7aa10-6fd8-4d5b-88ae-df2ed3662b28

## About the Role

The ideal candidate will have experience with generative AI technologies, prompt engineering, RAG architectures, agent orchestration, API integrations, and cloud-native development within the Microsoft ecosystem., * 3+ years of software development experience.

 * 2+ years of experience working with AI/ML or Generative AI solutions.
 * Strong programming skills in:
 + Python
 + C#
 + JavaScript/TypeScript
 * Experience with REST APIs, microservices, and cloud application development.
 * Hands-on experience with:
 + Azure AI Foundry
 + Azure OpenAI Service
 + Azure AI Search
 + Azure Functions
 + Azure Kubernetes Service (AKS)
 + Azure App Services
 * Experience developing RAG-based applications and knowledge retrieval systems., * Experience building AI copilots and autonomous agents.
 * Familiarity with:
 + Semantic Kernel
 + AutoGen
 + LangChain
 + LangGraph
 + CrewAI
 + OpenAI SDKs
 * Experience with vector databases such as:
 + Azure AI Search
 + Pinecone
 + Weaviate
 + Chroma
 * Knowledge of model evaluation, prompt engineering, and AI observability tools.
 * Experience integrating AI solutions with Microsoft 365 and Power Platform ecosystems.
 * Azure certifications are highly preferred.

## Description

We are seeking an innovative and hands-on AI Developer to design, build, and deploy intelligent AI agents leveraging Azure AI Foundry, Large Language Models (LLMs), and modern AI orchestration frameworks. This role will focus on developing autonomous and semi-autonomous AI agents that automate business processes, enhance decision-making, and deliver conversational and task-oriented AI solutions across the enterprise., AI Agent Development

 * Design, develop, and deploy AI agents using Azure AI Foundry, Azure OpenAI Service, and Microsoft AI technologies.
 * Build multi-agent and agentic workflows capable of reasoning, planning, and executing complex business processes.
 * Develop conversational AI assistants, copilots, and autonomous agents for internal and external business use cases.
 * Implement Retrieval-Augmented Generation (RAG) architectures utilizing enterprise data sources and vector databases., * Integrate AI solutions with enterprise applications, APIs, databases, Microsoft 365, Dynamics 365, Power Platform, and Azure services.
 * Develop scalable backend services and APIs that support AI agent functionality.
 * Engineer prompt strategies, agent instructions, grounding techniques, and memory management capabilities.
 * Implement function calling, tool use, and workflow orchestration for AI agents.

Data & AI Operations

 * Create and optimize vector search solutions using Azure AI Search and embedding models.
 * Monitor model performance, hallucination rates, latency, and response quality.
 * Establish evaluation frameworks and testing methodologies for AI systems.
 * Collaborate with data engineers and architects to ensure secure and compliant AI deployments.

Governance & Security

 * Apply responsible AI principles, governance standards, and security best practices.
 * Ensure compliance with organizational and regulatory requirements for AI-generated content.
 * Maintain documentation for AI architectures, workflows, and operational procedures., * Large Language Models (GPT, Azure OpenAI)
 * Retrieval-Augmented Generation (RAG)
 * Prompt Engineering
 * Agentic AI Systems
 * AI Evaluation and Testing
 * Fine-Tuning Concepts
 * Embeddings and Vector Search

Microsoft Technologies

 * Azure AI Foundry
 * Azure OpenAI
 * Azure AI Search
 * Azure Functions
 * Azure Storage
 * Power Platform
 * Microsoft Graph API
 * Azure DevOps

Development

 * Python
 * C#
 * JavaScript / TypeScript
 * Git
 * CI/CD Pipelines
 * Docker
 * Kubernetes, * Reduction in manual effort through intelligent automation.
 * Improved user engagement and AI adoption metrics.
 * High-quality AI outputs with measurable accuracy and reliability.
 * Secure, scalable, and maintainable AI solutions aligned with enterprise standards.