AI Application Developer -Digital and Automation Development

• 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, governance, and data protection.
• Contribute to technical documentation, knowledge sharing, and continuous improvement of AI engineering practices.
• Explore emerging AI technologies, industry trends, foundation models, tools, and frameworks to enhance team capabilities.

Qualifications

• 3–5 years of experience as an AI Engineer, Software Engineer, Backend Engineer, or related field.
• Strong programming skills in Python (Node.js is a plus).
• Experience designing and developing RESTful APIs and basic knowledge of SOAP Web Services.
• Experience developing AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or AI Agents.
• Experience with Low-Code AI; Power Apps, Power Automate, or Copilot Studio
• Experience with Data Analytics and Visulization tools, OCR, Document processing, or Web Scraping/Automation (e.g., Playwright)
• Familiar with AI frameworks such as LangChain, LangGraph, LlamaIndex, or similar.
• Experience integrating enterprise applications through APIs and authentication mechanisms (OAuth2, OIDC, JWT).
• Hands-on experience with AWS Cloud (preferred) or Microsoft Azure, especially AI-related services.
• Experience with Docker and basic CI/CD concepts.
• Experience with relational databases (PostgreSQL, SQL Server, MySQL) and familiarity with vector databases is a plus.
• Experience with frontend technologies (React, Next.js, Angular, or similar) is a plus.
• Experience with agent frameworks or open-source agent harnesses — LangChain/LangGraph, OpenClaw, Hermes-style agents, AutoGen, CrewAI — or a personal AI agent is a plus.
• Experience in Banking, Financial Services, or other regulated industries is an advantage.
• Strong analytical, problem-solving, communication, and teamwork skills.
• Logical thinking and self-learning habit; passion for continuous learning and adapting to emerging AI technologies

Nanthipak ( May )

Mobile Phone: 082-9155978

Email [email protected]