Senior Language Model Developer

3 days ago

Meerut, Uttar Pradesh, India beBeeLanguagemodel Full time ₹ 1,20,00,000 - ₹ 2,00,00,000

We're seeking an experienced AI engineer with a strong focus on developing, configuring, and fine-tuning Large Language Models (LLMs). The ideal candidate will play a pivotal role in our GenAI-powered products and collaborate closely with cross-functional teams to develop domain-specific vertical LLMs, curate datasets, optimize performance, and deploy production-ready models.

Key Responsibilities:

  • Design, configure, and deploy LLM-based solutions using open-source models and APIs.
  • Develop and fine-tune Small Language Models (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.

Required Skills and Qualifications:

  • 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 (Transformers, LangChain, Pydantic, etc.).
  • Experience with dataset creation, curation, and labeling for fine-tuning tasks.
  • Knowledge of vector databases, embeddings, and similarity search.
  • Familiarity with model serving frameworks (e.g., FastAPI, Flask, Triton).

The ideal candidate will have the opportunity to work with cutting-edge technology, collaborate with a talented team, and contribute to the development of innovative GenAI-powered products. We offer a dynamic and challenging work environment that fosters growth, learning, and creativity.

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