Senior AI System Architect

5 days ago

Udaipur, Rajasthan, India beBeeArtificialintelligence Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
AI Expert

Job Title: AI Expert

  • 2–4 years of experience in Artificial Intelligence, Machine Learning and Large Language Models.

To excel in the field of Artificial Intelligence, one needs a strong foundation in computer science, expertise in machine learning and practical knowledge of large language models. Our ideal candidate will have a deep understanding of complex software architectures, solid problem-solving skills, and the ability to adapt to rapidly evolving technologies.

We are seeking an experienced AI Expert with 2-4 years of experience in building and implementing advanced LLM-driven agentic systems. If you have a passion for innovation, a knack for learning, and a talent for creating scalable software solutions, this could be the perfect opportunity for you.

Key Responsibilities:

  • Design and build sophisticated LLM-driven agentic systems that incorporate memory, multi-step planning, and tool invocation capabilities.
  • Implement Model Context Protocol (MCP) patterns to coordinate LLMs with APIs, scrapers, and microservices, ensuring seamless communication between these disparate components.
  • Collaborate with cross-functional teams to translate problem statements into intelligent automation flows, leveraging your expertise in AI/ML to drive business outcomes.
  • Maintain high-quality codebases, contributing to production-ready pipelines with Docker, FastAPI, and Git, while ensuring scalability and maintainability.
  • Stay up-to-date with the latest advancements in LLM reasoning, agent architectures, and open-source tools, applying this knowledge to improve our existing solutions and inform future product developments.

Requirements:

  • Bachelor's or master's degree in computer science, Artificial Intelligence, or a related field.
  • 3+ years of experience in AI/ML or backend engineering roles, with recent focus on LLM-based systems.
  • Strong grasp of LLM prompting, tool chaining, memory management, and agent planning frameworks (e.g., ReAct, Tree of Thought).
  • Familiarity with containerization (Docker), REST APIs, and version control systems (Git).
  • Excellent written and verbal communication skills, enabling effective collaboration with colleagues and stakeholders.

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