AI Application Developer -Digital and Automation Development

Job Description Low-code AI — building and maintaining internal apps, workflows, and AI agents on the Microsoft ecosystem (Power Apps, Power Automate, Copilot Studio, Azure AI Foundry) Pro-code AI — developing AI agents: RAG pipelines, function calling, Model Context Protocol (MCP), conversation memory, tool-enabled AI agent integrations, agent orchestration frameworks; open-source agent frameworks and harnesses (e.g., LangChain, OpenClaw, Hermes-style agents) Integrate APIs with API Gateway for authentication, authorization, rate limiting, and monitoring. Document and maintain API specifications using OpenAPI/Swagger. Integrate AI services (e.g., Amazon Bedrock, Amazon SageMaker, Azure OpenAI) into enterprise applications.

Design and Assist with Retrieval-Augmented Generation (RAG) using enterprise knowledge bases and vector databases, testing retrieval quality, and tuning for accuracy, relevance, and reliability. Integrate AI applications with enterprise systems through REST APIs, SOAP Web Services, Webhooks, and enterprise integration platforms. Build scalable AI inference services and support AI application deployment.

Deploy and manage AI applications on AWS Cloud and support Azure AI services when required. Implement containerized deployments using Docker and support CI/CD pipelines including monitoring, performance tracking, version control, observability, and lifecycle management. Apply secure AI development practices and Responsible AI principles, including privacy,