AI Developer with Azure AI Foundry

Roles and Responsibilities

• Design, build, customize, and deploy AI models, agents, copilots, and multi-agent systems for enterprise use.
• Develop agentic workflows and implement prompt orchestration patterns for production-ready solutions using Python, Azure AI Foundry, Claude Code, and related enterprise AI platforms.
• Design and develop Python-based enterprise applications, backend services, automation components, and reusable modules using modern software engineering practices.
• Build and maintain scalable application services, integrations, and data access layers with a focus on performance, reliability, and observability.
• Build and integrate Model Context Protocol (MCP) servers to allow agents to safely query databases and execute APIs.
• Select and fine-tune Large Language Models (LLMs) via the Azure AI Foundry Model Catalog. Implement end-to-end tracing, monitoring, and quality evaluations for operational safety
• Develop Python-driven Retrieval-Augmented Generation pipelines that integrate enterprise data sources, embeddings, and vector stores.
• Perform prompt engineering, model tuning, evaluation, and monitoring to continuously improve solution quality.
• Develop and expose enterprise services through APIs and application components deployed on Azure, integrating AI capabilities into business platforms and developer workflows.
• Implement CI/CD pipelines and support the end-to-end lifecycle of AI and data solutions in production.
• Ensure compliance with security, privacy, and regulatory standards through role-based access, logging, and audit controls.
• Create and maintain documentation for solution architecture, data flows, operational procedures, and supportability.

Basic Qualifications

• 8 years of experience working as a developer in the .NET and Python technology stack, building enterprise applications, services, and integrations.
• 2 years of experience developing AI/ML solutions, including generative AI applications and agentic workflows.
• 1 years of hands-on experience building agentic AI applications.
• 2 years of experience with distributed systems, APIs, Azure cloud services, and production-grade application development using modern frameworks.
• 2 years of experience with Azure AI Foundry, Claude Code development, Copilot Studio, Azure ML, and related enterprise AI tooling.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Preferred Qualifications

• Strong expertise in application architecture, object-oriented design, database design, and enterprise system integration.
• Strong proficiency in Python, SQL, and modern development toolsets, with experience building AI applications, automation workflows, APIs, and enterprise services.
• Strong experience building REST APIs, Python services, and enterprise applications using Azure-native development patterns.
• Experience with DevOps practices, including GitHub, Azure DevOps, and CI/CD pipelines.
• Strong understanding of governance, security, compliance, and operational controls for enterprise AI solutions.
• Ability to translate complex business requirements into scalable, reliable, and governed AI-enabled solutions.
• Experience with vector databases such as Azure Search, Cosmosdb.
• Familiarity with machine learning frameworks such as PyTorch, TensorFlow.
• Experience integrating AI services into enterprise applications using Python, APIs, and cloud-native development patterns.
• Experience with .NET, , C#, microservices, or backend service development in enterprise environments is a plus.
• Background in building governed, production-grade AI solutions in regulated enterprise environments.
• Azure AI Engineer Associate certification is strongly preferred.