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LLM Engineer

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Gandhinagar, Gujarat, India beBeeLanguage Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Large Language Model Engineer

We are seeking a highly skilled Large Language Model (LLM) engineer to join our team. As an LLM engineer, you will play a critical role in developing and deploying domain-specific vertical LLMs.

About the Role:

You will be responsible for designing, configuring, and deploying LLM-based solutions using open-source models and APIs. Your primary focus will be on developing and fine-tuning Small Language Models (SLMs) for specific enterprise verticals such as Finance, Legal, and Fraud Detection.

Key Responsibilities:

  • Design, configure, and deploy LLM-based solutions using open-source models and APIs.
  • Develop and fine-tune SLMs for specific enterprise verticals.
  • Write efficient Python code for training pipelines, model orchestration, inference services, and dataset management.
  • Build, clean, and label datasets for supervised fine-tuning and evaluation.
  • Conduct experimentation and benchmarking across models to measure accuracy, latency, and cost-performance trade-offs.
  • Apply Retrieval-Augmented Generation (RAG) techniques, embedding models, and vector database integrations.
  • Ensure security, compliance, and scalability of deployed LLM solutions.
  • Collaborate with cross-functional teams to integrate models into enterprise platforms.

Requirements:

  • 4–6 years of experience in AI/ML development with a strong focus on NLP and GenAI.
  • Hands-on expertise in LLMs like GPT, LLaMA, Falcon, Mistral, or similar open models.
  • Proficiency in Python and key libraries such as Transformers, LangChain, and Pydantic.
  • Experience with dataset creation, curation, and labeling for fine-tuning tasks.
  • Knowledge of vector databases, embeddings, and similarity search.
  • Familiarity with model serving frameworks such as FastAPI, Flask, and Triton.
  • Ability to optimize model inference for latency and cost efficiency.