AI System Architect

2 days ago

Malappuram, Kerala, India beBeeArtificial Full time US$ 1,80,000 - US$ 2,30,000
Lead AI Systems Designer

As a leading innovator in the field of cutting-edge technologies, we are committed to protecting and enhancing products, securing identities, and safeguarding revenues.

Our team of experts offers expertise in R&D, security design, engineering, and data-driven insights. We seek a highly skilled AI Engineer experienced in designing, deploying, and operationalizing modern AI solutions using Generative AI, Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP).

In this role, you'll build context-aware AI agents capable of dynamic memory management, tool-based reasoning, multi-modal interaction, and consistent state maintenance across distributed AI ecosystems.

Key Accountabilities:

  • Design, develop, and deploy advanced AI systems leveraging LLMs, multi-modal models, and autonomous agent frameworks.
  • Architect and implement Retrieval-Augmented Generation (RAG) pipelines integrated with vector databases for dynamic, enterprise-safe context retrieval.
  • Develop and manage context-aware AI agents leveraging Model Context Protocol (MCP) or equivalent structured context management mechanisms for persistent memory, multi-agent collaboration, and session continuity.

Required Skills and Qualifications:

  • 3+ years of AI engineering experience with direct expertise in Generative AI (GenAI) frameworks, Agentic AI orchestration frameworks, and Retrieval-Augmented Generation (RAG) system design and deployment.
  • Experience integrating multi-modal models into agentic workflows.
  • Familiarity with AI safety, observability, and context integrity management in distributed AI systems.
  • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field.

Benefits:

We offer a dynamic work environment that fosters innovation, collaboration, and professional growth.

Preferred Candidates:

Candidates with expertise in AI safety, observability, and context integrity management will be given preference.

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