Description

You will develop and deploy autonomous AI systems capable of independent reasoning and goal achievement.

Responsibilities

• Implement agentic frameworks, such as LangChain or custom solutions, for agent-to-agent communication and dynamic task assignment.
• Develop and integrate Retrieval-Augmented Generation (RAG) pipelines to ground agent reasoning in domain-specific knowledge.
• Implement multi-agent communication protocols to coordinate agent collaboration.
• Deploy scalable AI workflows on cloud platforms (AWS, Azure, or GCP), optimizing for latency and resource utilization.
• Design and build autonomous AI systems using LLMs for language understanding, generation, and task planning.

Required Skills

• 10+ years of experience with Agentic AI, LangChain, and RAG designs.
• Strong programming skills in Python and experience with Java.
• Proficiency in agentic frameworks and libraries including LangChain and AutoGen.
• Experience working with LLMs such as LLaMA and GPT for task planning and generation.
• Experience deploying scalable workflows on cloud platforms: AWS, GCP, or Azure.
• Experience applying AI and machine learning concepts to system design.

Key Skills

Education

Any Gradute