Description

What's the Job?

• Design, prototype, develop, integrate, and deploy AI-enabled and automation solutions that address defined business and operational needs.
• Build intelligent applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow automation to improve decision-making and user experiences.
• Develop and integrate enterprise-grade AI services and secure APIs across applications, APIs, databases, Microsoft 365, and business systems.
• Implement RAG architectures, including document ingestion pipelines, chunking/embedding strategies, retrieval workflows, and vector search optimization.
• Evaluate and continuously optimize AI solutions for accuracy, reliability, performance, security, and business impact while adding observability and governance throughout the lifecycle.

What's Needed?

• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Data Science, or a related field.
• Professional experience in software development with strong proficiency in Python and API-driven application development.
• Experience developing integrations and applications using C#, .NET, or comparable enterprise development frameworks.
• Demonstrated experience designing, building, and deploying AI-enabled or automation solutions, including strong understanding of generative AI, prompt engineering, context engineering, and RAG.
• Understanding of cloud security principles, authentication, identity management, access controls, and secure data handling practices

Key Skills

Education

Any Graduate