Senior Large Language Model System Architect

3 days ago


India beBeeAIEngineer Full time ₹ 15,00,000 - ₹ 25,00,000

Unlock the Power of Advanced AI Systems as a Senior ML Engineer

We are seeking an experienced professional to lead the design and delivery of next-generation agentic Large Language Model (LLM) solutions. The ideal candidate will have a strong background in Machine Learning and Artificial Intelligence, with expertise in building and deploying LLM-based systems.

Key Responsibilities:
  • Design production-grade agent ecosystems featuring robust error-recovery, long-term memory, and dynamic tool integration
  • Build multimodal LLM solutions by integrating vision, audio, and structured data inputs into unified LLM pipelines
  • Lead the design of Graph-RAG, Agentic-RAG, and hybrid retrieval architectures for high-accuracy knowledge access
  • Optimize embedding stores, vector databases, and reranking strategies
  • Advance Agent-Building Tooling by developing LLM-based agents for dynamic tasks using orchestration frameworks
  • Guide junior engineers on SOLID design, DRY/YAGNI coding, CI/CD pipelines, and peer code reviews

Requirements:

  • > 2 years of experience in ML/AI engineering, specifically building and deploying LLM-based systems and RAG pipelines
  • Expertise in designing, deploying, and orchestrating multi-agent systems using LLM-based agents for dynamic task execution across various tools and platforms
  • Familiarity with tool-calling frameworks, LLM-sandboxing, and how LLMs can interact with external systems (e.g., databases, APIs)
  • Production deployments on AWS/Azure/GCP using Docker, Kubernetes, Terraform, CI/CD, and monitoring stacks
  • Mastering Chain of Thought (CoT), Tree of Thought (ToT), Graph of Thought (GoT), and self-critique strategies
  • Excellent articulation skills to communicate technical solutions to both technical peers and non-technical stakeholders

What We Offer:

  • A competitive salary package with rapid growth potential
  • A cutting-edge tech stack with the latest AI/ML tools and frameworks
  • A generous learning budget for conferences, courses, and certifications
  • Fully remote work arrangements with flexible hours and a modern development environment
  • Direct mentorship from seasoned engineers and AI researchers


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