Chief Large Language Model Architect

2 days ago


Amrāvati, Maharashtra, India beBeeLanguage Full time ₹ 1,80,00,000 - ₹ 2,40,00,000

Lead Large Language Model Engineer


Job Description

We are seeking an experienced professional to spearhead the development and deployment of next-generation language models and generative AI systems. As a senior engineer, you will be responsible for driving the advancement of our machine learning engineering efforts, focusing on the design, development, and deployment of large language model-based systems using cutting-edge techniques such as prompt engineering and retrieval-augmented generation (RAG).

As a seasoned professional in machine learning and LLM engineering, you will leverage your expertise in LangChain and LangGraph to deliver production-grade, reusable, and scalable code in Python and SQL.

Key Responsibilities:
  • Design, develop, and deploy large language model-based systems using advanced techniques such as prompt engineering and retrieval-augmented generation (RAG)
  • Own and maintain our codebase, delivering production-grade, reusable, and scalable code in Python and SQL, leveraging libraries like LangChain and LangGraph
  • Architect and optimize deployment pipelines on cloud platforms (Azure, AWS, or GCP), ensuring CI/CD, scalability, and cost-efficiency
  • Collaborate with cross-functional teams to translate complex technical concepts into actionable insights
  • Provide technical leadership, mentor junior team members, and foster a culture of best practices in machine learning and LLM engineering
  • Stay up-to-date with the latest research, tools, and methods in generative AI to keep our solutions cutting-edge
Requirements
  • At least 7 years of experience in developing and deploying ML models in production environments
  • 1+ year of practical experience working with large language models and generative AI, including prompt design, RAG pipelines, and AI agents
  • Proven ability to set and guide a technical roadmap for engineering teams
  • Advanced programming proficiency in Python and SQL with strong expertise in LangChain/LangGraph
  • Familiarity with cloud ecosystems (Azure, AWS, or GCP) and modern DevOps practices
  • Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders


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