Description

You will build and deploy autonomous AI agents and generative AI solutions using Amazon Bedrock.

This role is on-site.

Responsibilities

• Design, build, and deploy autonomous AI agents using LangChain, Semantic Kernel, or custom orchestration layers.
• Craft and optimize high-quality prompts, including prompt chains, system prompts, and context strategies.
• Develop generative AI solutions with Amazon Bedrock using models from Anthropic, Cohere, Stability AI, and Amazon Titan.
• Implement Bedrock features such as Guardrails and Knowledge Bases to ensure agent safety and capability.
• Test and iterate prompts based on model performance and feedback.

Required Skills

• 5+ years of experience in software development.
• Strong proficiency in Python.
• Hands-on experience with Amazon Bedrock and AWS cloud deployment.
• Experience building multi-step agents with LangChain or Semantic Kernel.
• Deep understanding of LLM behavior and Retrieval Augmented Generation (RAG) architecture.
• Experience with vector databases such as FAISS or Pinecone.
• Proficiency in API integration.
• Expertise in prompt engineering and context strategies.

Key Skills

Education

Any Graduate