About this role
We are seeking a strong Software Engineer with mandatory Python expertise to support and additionally build Generative AI and agentic AI solutions on Microsoft Azure. This role is ideal for someone who has hands-on experience building production-grade AI applications using the Microsoft Agent Framework, modern backend engineering practices, and secure cloud-native architectures.
The candidate should have hands-on experience independently building end-to-end Business process automation solutions across Web, API, Database, Excel, PDF, and Desktop applications using relevant Python libraries.
The ideal candidate has experience designing and deploying primarily Python based Business process automations or custom-built applications and the considering the future intelligent automation development, there experience working on agentic systems, building evaluation harnesses, integrating tools and workflows, and implementing Responsible AI and security controls for enterprise use cases would be an important addition.
Qualifications & Experience
6+ years of software engineering experience, mandatorily on Python
2+ years in GenAI, LLM, or agentic application development
Experience in enterprise or production AI environments preferred
Experience building backend services and APIs with FastAPI
Experience with AI agents, agent orchestration, tool calling, MCP, RAG, and evaluation frameworks.
Experience integrating AI with enterprise APIs, workflows, databases, and business processes.
Experience with document intelligence, OCR, data processing, or knowledge retrieval is a plus.
Understanding of Responsible AI, AI security, privacy, and governance.
Experience with Azure cloud resources and cloud-native application development
Experience with ADO, GitHub, and modern Azure Devops CI/CD Pipelines
Strong understanding of secure design for AI systems, including access control, data handling, prompt safety, and system reliability
Experience with workflow management and orchestration in enterprise environments
Knowledgeable about working with multi-agent systems