Description

Job Responsibilities include:

Design and develop AI-powered agents and autonomous workflows using platforms like MS Copilot, AWS, and UiPath.

Implement prompt engineering, RAG pipelines, and vector search to generate accurate and context-aware AI responses.

Build and manage multi-agent systems with task orchestration, state management, and event-driven execution.

Integrate AI solutions with enterprise systems, APIs, and databases to enable real-world business actions.

Ensure scalable deployment using cloud platforms (AWS/Azure), CI/CD pipelines, and containerized environments.

Monitor, secure, and optimize AI systems by implementing guardrails, performance tracking, and continuous improvement practices.

Required Qualifications:

Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related field.

4–6 years of hands-on experience in AI/ML engineering and agent-based solution development.

Strong expertise in prompt engineering, RAG pipelines, embeddings, and building multi-agent workflows with orchestration tools.

Proven experience in integrating AI solutions with enterprise systems, deploying on AWS/Azure, and ensuring security, scalability, and performance of AI applications

Key Skills

Education

Any Graduate