Principal Large Language Model Architect

3 days ago

Bengaluru, Karnataka, India beBeeMachine Full time ₹ 15,00,000 - ₹ 20,00,000
Job Description:

We are seeking a seasoned Machine Learning Engineer to join our team.

  • Design, implement, and optimize Large Language Model (LLM) pipelines using frameworks such as LangChain, LangGraph, and OpenAI/Anthropic APIs.
  • Write clean, efficient, and scalable code in Python and Java, applying best practices in ML engineering and enterprise application development.
  • Develop and refine prompt engineering strategies and agent reasoning workflows to improve accuracy and reliability.
  • Build and maintain evaluation frameworks for measuring model performance, including custom metrics for agent instructions and reasoning.
  • Debug, profile, and optimize inference pipelines for latency and cost efficiency at scale.
  • Collaborate closely with data scientists and product teams to translate business needs into technical implementations.
  • Contribute to end-to-end development from prototyping to production deployment in enterprise environments.
  • Stay current with the latest advancements in LLMs, agentic AI, and orchestration frameworks, applying new techniques where beneficial.

Required Skills and Qualifications:
  • 5+ years of hands-on experience in ML/AI engineering, with a strong focus on building and deploying AI/GenAI applications.
  • Proficiency in Python (ML libraries, GenAI/LLM frameworks) and Java (enterprise application development, OOP).
  • Practical experience developing with LLM frameworks such as LangChain, LangGraph, and vendor SDKs/APIs (OpenAI, Anthropic, etc.).
  • Experience with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization is a plus.
  • Strong skills in prompt engineering and designing agentic reasoning pipelines.
  • Solid understanding of ML evaluation techniques and experience in implementing model monitoring & metrics.
  • Proven ability to debug and optimize inference pipelines for performance and cost efficiency.
  • Strong problem-solving skills with the ability to work in fast-paced, agile development environments.

What We Offer:
  • A challenging role that requires expertise in ML engineering and LLMs.
  • A collaborative environment where you can contribute to end-to-end development.
  • The opportunity to stay current with the latest advancements in LLMs and agentic AI.

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