AI Engineer

• Develop AI applications and POCs for business, operations, engineering, and manufacturing use cases.

• Build Generative AI solutions using LLMs such as GPT, Claude, Gemini, Llama, Phi, or similar models.

• Develop RAG solutions using company documents, databases, and enterprise knowledge.

• Design and develop AI agents and agentic workflows for multi-step business tasks, decision-making, and tool/API usage.

• Integrate AI solutions with REST APIs, databases, enterprise applications, and approved tools.

• Develop human-in-the-loop workflows for validation, approval, and exception handling.

• Build backend services, data-processing workflows, and supporting APIs for AI applications.

• Evaluate AI models and solutions based on accuracy, reliability, performance, cost, and security.

• Use Microsoft Azure AI, Microsoft Foundry, Azure OpenAI, or other suitable AI platforms.

• Develop and deploy AI applications using Docker in cloud or on-premise environments.

• Conduct technical feasibility studies, rapid prototyping, POCs, testing, and deployment.

• Collaborate with business, IT, software, engineering, and other technical teams to deliver practical AI solutions.

• Prepare solution architecture, technical documentation, and POC/evaluation reports.

• Continuously explore emerging Generative AI, Agentic AI, models, and frameworks.