Azure AI Foundry and Python
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Job Location:
Monthly Salary:
Posted on:
7 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Title
Agentic AI Developer (Azure AI Foundry Python)
Experience
7 10 years total experience
(3 years in AI/ML or GenAI solution delivery preferred)
Role Summary
We are seeking an Agentic AI Developer to design build and deploy agent-based GenAI solutions using Azure AI Foundry and Python. The ideal candidate will be experienced in LLM application development building tool-using agents orchestrating workflows integrating enterprise systems and deploying solutions securely and reliably on Azure.
This role is hands-on and delivery-focused: you will build production-grade agentic solutions (multi-step reasoning tool calling workflow orchestration RAG evaluation observability) and collaborate with product platform security and data teams to ship responsibly.
Key Responsibilities
Agentic AI Solution Development (Azure AI Foundry)
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Build agentic applications using Azure AI Foundry capabilities (agents prompt flows/workflows model endpoints evaluation monitoring).
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Design agents that can:
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Use tools (APIs functions connectors)
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Execute multi-step tasks (planning execution validation)
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Maintain context safely (session memory retrieval grounding)
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Implement guardrails (content safety prompt injection defenses data boundaries) and enterprise governance patterns.
Python Engineering (Production-Grade)
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Develop clean testable and scalable Python services for:
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Agent orchestration layers
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Tool adapters and connectors
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RAG pipelines (retrieval grounding citation)
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Background workers and async task runners
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Write unit/integration tests performance tests and adopt strong code quality practices (linting typing CI).
RAG Search & Knowledge Grounding
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Implement Retrieval-Augmented Generation using:
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Azure AI Search / vector search
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Embeddings pipelines
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Chunking metadata filtering hybrid search reranking
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Design data ingestion workflows from enterprise sources (SharePoint Blob SQL APIs) with incremental indexing strategies.
Integration with Enterprise Systems
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Integrate agents with tools and systems such as:
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ServiceNow / Jira
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CRM/ERP APIs
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Internal knowledge bases
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Azure Functions / Logic Apps / API Management
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Build secure tool-calling patterns with authentication authorization auditing and least privilege.
Deployment Observability & Responsible AI
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Package and deploy services to Azure (App Service Functions AKS-based on need).
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Implement observability: structured logs traces model telemetry prompt/response auditing (with PII controls).
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Set up evaluation frameworks: regression tests for prompts hallucination checks groundedness scoring and automated quality gates.
DevOps & MLOps for GenAI
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Create CI/CD for agent workflows and Python services using GitHub Actions / Azure DevOps.
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Use IaC where applicable (Bicep/Terraform) for environment consistency.
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Manage secrets securely via Key Vault and implement environment-specific configuration patterns.
Required Skills & Experience
Core Requirements
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7 10 years of total IaC & coding Development experience
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Strong Python (API development async patterns packaging testing)
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Hands-on experience building GenAI applications with:
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Agentic frameworks/patterns (tool use planning orchestration)
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Prompt engineering and prompt lifecycle management
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RAG implementations and vector search concepts
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Solid experience with Azure services (at least a few of):
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Azure AI Foundry / model endpoints
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Azure AI Search
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Storage (Blob) Key Vault
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App Service / Functions / Container Apps / AKS
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API Management Logic Apps (nice to have)
Engineering Best Practices
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REST API design (FastAPI/Flask) authentication/authorization (OAuth2/JWT)
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Git branching strategies code review discipline
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CI/CD pipelines containerization (Docker) environment management
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Strong debugging and performance optimization capability
