Senior AI Engineer

Job Summary

We are seeking a highly skilled Senior Generative AI Architect / Agentic AI Engineer to design, develop, and deploy next-generation AI solutions leveraging Large Language Models (LLMs), Multi-Agent Systems, Retrieval-Augmented Generation (RAG), and advanced workflow orchestration frameworks. The ideal candidate will have extensive experience building enterprise-grade AI applications using Agentic AI frameworks, AWS cloud services, and modern MLOps/LLMOps practices.

Key Responsibilities

• Design and develop enterprise-scale Agentic AI and Multi-Agent Systems using frameworks such as LangGraph, AutoGen, CrewAI, Agency Swarm, or similar.
• Build intelligent workflow orchestration platforms enabling autonomous decision-making and task execution.
• Implement Agent-to-Agent (A2A) communication and Model Context Protocol (MCP) for seamless collaboration between AI agents.
• Develop advanced RAG (Retrieval Augmented Generation) architectures and information retrieval solutions.
• Design and deploy scalable AI applications on AWS Cloud, including Amazon Bedrock and SageMaker.
• Build integrations using OpenAPI standards and enterprise APIs.
• Design and optimize Vector Database and Knowledge Graph solutions.
• Fine-tune, evaluate, and deploy LLMs for production environments.
• Develop self-healing and adaptive AI workflows that automate complex business processes.
• Collaborate with engineering, product, and business teams to deliver impactful AI-driven solutions.
• Establish AI architecture standards, best practices, governance, and observability frameworks.
• Lead initiatives around LLMOps, MLOps, model monitoring, and continuous improvement.

Required Skills & Experience

Experience

• 8-12 years of overall software development experience.
• Minimum 5 years of hands-on experience in AI/ML and Generative AI.
• 3+ years of experience building Agentic AI, Multi-Agent Systems, or autonomous AI applications.

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