Description

Job Description:   

We are seeking an experienced Agentic AI Engineer to design, develop, and deploy enterprise-grade Generative AI and Agentic AI solutions. The ideal candidate will have deep expertise in building AI-powered applications using AWS Bedrock, AgentCore, LangGraph, LangChain, MCP and Retrieval-Augmented Generation (RAG) architectures.

Key Responsibilities:

• Design and develop autonomous and multi-agent AI systems using AWS AgentCore capabilities
• Build and optimize agent workflows using LangGraph and LangChain.
• Implement planning, reasoning, tool usage, and memory management capabilities within AI agents.
• Design agent-to-agent and agent-to-system interaction patterns.
• Experience of MCP (Model Context Protocol) and tool-calling architectures.
• Build enterprise-scale Retrieval-Augmented Generation (RAG) solutions using AWS Bedrock foundation models and embedding models.
• Design vectorization, indexing, retrieval, re-ranking, and grounding strategies.
• Develop prompt engineering frameworks and evaluation methodologies for GenAI applications.
• Implement conversational AI, knowledge assistants, copilots, and AI-powered automation solutions.
• Integrate Bedrock Guardrails to ensure safety, compliance, and responsible AI practices.
• Design and develop RESTful APIs to expose AI capabilities to enterprise applications.
• Integrate AI agents with business applications, enterprise workflows, databases, and external systems.
• Develop intuitive front-end experiences using React and modern UI frameworks.
• Build scalable and reusable AI services and microservices.
• Deploy and manage AI solutions on AWS using Infrastructure as Code (IaC) principles.
• Develop and maintain infrastructure using Terraform.
• Implement CI/CD pipelines using GitLab.
• Define best practices, standards, and architectural patterns for GenAI and Agentic AI implementations.
• Collaborate with product owners, architects, data engineers, and business stakeholders.
• Ensure AI solutions adhere to security, governance, compliance, and responsible AI requirements.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field.
• 3+ years of software engineering experience, including significant experience building AI/ML solutions.
• 2+ years of hands-on experience with Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) architectures.
• 2+ years of experience designing and implementing Agentic AI or multi-agent systems

Key Skills

Education

Any Graduate