AI Developer – Azure AI Foundry

DysrupIT

. Design and build multi-agent systems on Foundry Agent Service using Microsoft Agent Framework with Python and .NET .

Posted 10/14/2026full-timeRemote • Philippines, IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building multi-agent systems using Microsoft Agent Framework, Python, and .NET, with a strong focus on Azure AI technologies and production-level AI solutions. Proficient in implementing governance, quality monitoring, and CI/CD practices in regulated environments.

Highest-signal resume keywords

Multi-Agent System DesignAzure AI Foundry SolutionsPython and C#/.NET DevelopmentCI/CD Management with GitHub ActionsProduction Experience with AI Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonC#/.NETAzure AI SearchDataversePower AutomateBicepTerraformCI/CDAgentic PatternsRetrieval-Augmented Generation (RAG)

Soft Skills

Clear Communication

Tools & Technologies

Microsoft Agent FrameworkAzure FunctionsMCP ServersPower PlatformMicrosoft EntraApplication InsightsContainer AppsAPI ManagementCopilot StudioMicrosoft 365 Copilot

Certifications & Qualifications

AI-102AZ-204PL-400

Industry Keywords

Regulated SettingsLegalFinancial ServicesGovernment

Tech Stack

Tools & technologies

AzurePythonTerraformVault.NET

About the role

Key responsibilities & impact

Design and build multi-agent systems on Foundry Agent Service using Microsoft Agent Framework with Python and .NET
Implement orchestration, hand-offs, tool calling and long-running work
Build ingestion, chunking, indexing and retrieval pipelines on Azure AI Search
Implement permission trimming, grounding and citations so agents answer from approved sources
Package reusable skills and tools, including Foundry toolboxes, MCP servers and Azure Functions
Use Dataverse as the system of record and for agent state
Connect through the Dataverse Web API, MCP and custom connectors
Trigger Power Automate flows and surface agents in Copilot Studio, Teams and Microsoft 365 Copilot
Implement autonomy levels, human-in-the-loop approvals and audit logging
Work with solution architects and clients’ risk teams on governance
Set up tracing, evaluators, regression datasets and red-team tests
Monitor quality, latency and token cost in production
Give each agent its own Microsoft Entra identity and use managed identities and Key Vault
Design for private networking, content safety and data residency
Deploy with infrastructure as code using Bicep or Terraform
Manage CI/CD through GitHub Actions or Azure DevOps across development, test and production environments

Requirements

What you’ll need

6+ years in software engineering, including 2+ years building LLM-based applications
Hands-on experience delivering solutions on Azure AI Foundry, including agents, model deployments, Azure AI Search and evaluation
Strong Python and C#/.NET skills
Solid engineering habits such as testing, code review, Git and CI/CD
Production experience with agentic patterns, including tool use, planning, memory, multi-agent orchestration and retrieval-augmented generation (RAG)
Working knowledge of Azure Functions, Container Apps, API Management, Key Vault, Entra ID and Application Insights
Working knowledge of Dataverse, including tables, security model and Web API
Knowledge of how the Power Platform connects to external services
Experience applying guardrails and evaluation to AI systems in production
Clear communication with both business and technical audiences
Experience building Copilot Studio agents and publishing to Teams or Microsoft 365 Copilot
Experience building or consuming MCP servers
Experience with Azure AI Document Intelligence, Microsoft Fabric or Azure AI Content Safety
Delivery experience in regulated settings such as legal, financial services or government
Microsoft certifications such as AI-102, AZ-204 or PL-400 are nice to have

Benefits

Comp & perks

Government-mandated benefits plus supplemental HMO coverage
Collaborative and professional work environment
Career growth opportunities within a growing organization
Fully remote work arrangement
Training and support to grow careers