AI Engineer / Agentic AI Engineer

Role & responsibilities

• Gather, analyse, and translate business requirements into AI and Agentic AI solutions.
• Design, develop, test, deploy, and maintain AI-powered applications and intelligent agents.
• Develop Agentic AI workflows capable of reasoning, planning, task execution, and orchestration.
• Build and integrate Large Language Model (LLM), Retrieval-Augmented Generation (RAG), and multi-agent solutions.
• Integrate AI solutions with enterprise systems, APIs, databases, both cloud services and on-premises.
• Optimize AI models, prompts, workflows, and overall solution performance.
• Ensure AI solutions comply with security, governance, privacy, and responsible AI standards.
• Prepare technical documentation, deployment guides, and knowledge transfer materials.
• Provide technical support, troubleshooting, and continuous enhancements.

All use cases must be on-prem with local models and on-prem tools