Description

You will design, develop, and deploy Agentic AI solutions capable of reasoning, adapting, and acting independently to meet objectives.

Responsibilities

• Implement Agentic frameworks, such as LangChain or custom solutions, for agent-to-agent communication and dynamic task assignment.
• Architect and scale AI-first applications utilizing LLMs, orchestration patterns, and AWS-native services.
• Develop solutions that support context-aware decision-making processes within AI agents.
• Drive the implementation of agentic systems leveraging state-of-the-art LLM technologies.

Required Skills

• 5+ years of professional experience in software development.
• Strong programming skills in Python and experience with object-oriented languages like Java.
• Proficiency with agentic frameworks and libraries (e.g., LangChain, AutoGen, LlamaIndex).
• Demonstrable experience with cloud platforms including AWS, GCP, or Azure.
• Deep knowledge of LLMs and their practical application in agentic systems.
• Familiarity with AI ecosystems like Open AI, Amazon Bedrock, and AWS SageMaker.
• Self-driven and articulate communication skills necessary to lead technical efforts.

Key Skills

Education

Any Gradute