AI Automation Engineer / Developer

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

2-5 years of experience in software engineering, AI/automation development, or enterprise system integration.

Proven experience designing, building, and deploying AI agents or LLM-powered applications for business process automation.

Hands-on experience with prompt engineering, RAG pipelines, tool/function calling, and multi-agent frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar).

Experience integrating AI solutions with enterprise platforms such as Microsoft Dynamics 365 (Dataverse, Power Platform), SAP (OData, BAPI/RFC, IDoc, SAP BTP), or ServiceNow (REST APIs).

Working knowledge of Microsoft Azure for deploying and operating AI services (Azure OpenAI, Azure AI Services, Azure Functions, Logic Apps, or similar).

Familiarity with Microsoft Copilot and Copilot Studio for building or extending AI assistants.

Strong programming skills in Python and/or C#/.NET; ability to build and maintain APIs, automation scripts, and cloud-based services.

Experience developing AI-powered solutions such as workflow orchestration, ticket triaging, knowledge retrieval, or automated reporting.

Familiarity with middleware/iPaaS and automation tools (Power Automate, SAP Integration Suite, Logic Apps, MuleSoft, n8n, or similar).

Understanding of security, governance, and compliance requirements for AI solutions handling enterprise data.

Experience monitoring, testing, and optimizing production systems for performance and reliability.

Strong communication skills and ability to collaborate with business and IT stakeholders to translate process requirements into technical solutions.

Preferred Qualifications

• Experience with vector databases (e.g., Azure AI Search) and intelligent document processing.

• Familiarity with SAP AI offerings (Joule, SAP AI Core) or ServiceNow AI capabilities (Now Assist).

• Experience with agent observability, evaluation frameworks, or LLMOps practices.

• Microsoft certifications (e.g., Azure AI Engineer Associate, Power Platform Developer) a plus.