AI Developer – Azure AI Foundry

This is a fully remote position, open to applicants in Philippines, +1 more country.

📋 Description

• Create and develop multi-agent systems on Foundry Agent Service utilizing Microsoft Agent Framework with Python and .NET.

• Execute orchestration, hand-offs, tool calling, and manage long-running tasks.

• Construct ingestion, chunking, indexing, and retrieval pipelines on Azure AI Search.

• Apply permission trimming, grounding, and citations to ensure agents respond using approved sources.

• Package reusable skills and tools, which include Foundry toolboxes, MCP servers, and Azure Functions.

• Utilize Dataverse as the primary system of record and for agent state management.

• Connect via the Dataverse Web API, MCP, and custom connectors.

• Initiate Power Automate flows and integrate agents within Copilot Studio, Teams, and Microsoft 365 Copilot.

• Establish autonomy levels, human-in-the-loop approvals, and maintain audit logging.

• Collaborate with solution architects and clients’ risk teams to ensure governance.

• Configure tracing, evaluators, regression datasets, and conduct red-team tests.

• Oversee quality, latency, and token costs in the production environment.

• Assign each agent a unique Microsoft Entra identity and utilize managed identities and Key Vault.

• Design with a focus on private networking, content safety, and data residency.

• Deploy using infrastructure as code principles with Bicep or Terraform.

• Manage CI/CD processes through GitHub Actions or Azure DevOps across development, testing, and production environments.

⛳️ Requirements

• A minimum of 6 years in software engineering, with at least 2 years dedicated to developing LLM-based applications.

• Practical experience in delivering solutions on Azure AI Foundry, including agents, model deployments, Azure AI Search, and evaluations.

• Proficient in Python and C#/.NET programming languages.

• Strong engineering practices, such as testing, code reviews, Git usage, and CI/CD methodologies.

• Experience in production with agentic patterns, including tool utilization, planning, memory management, multi-agent orchestration, and retrieval-augmented generation (RAG).

• Familiarity with Azure Functions, Container Apps, API Management, Key Vault, Entra ID, and Application Insights.

• Understanding of Dataverse, including its tables, security model, and Web API functionality.

• Knowledge of the Power Platform's integration with external services.

• Practical experience in applying guardrails and evaluations to AI systems in production settings.

• Ability to communicate clearly with both business and technical stakeholders.

• Experience in developing Copilot Studio agents and publishing them to Teams or Microsoft 365 Copilot.

• Background in building or utilizing MCP servers.

• Experience with Azure AI Document Intelligence, Microsoft Fabric, or Azure AI Content Safety.

• Proven delivery experience in regulated environments such as legal, financial services, or government sectors.

• Microsoft certifications like AI-102, AZ-204, or PL-400 are considered advantageous.

🏝️ Benefits

• Government-mandated benefits along with supplemental HMO coverage.

• A collaborative and professional work environment.

• Opportunities for career advancement within a growing organization.

• Fully remote work arrangement.

• Training and support provided to help advance careers.