Strategic Large Language Model Architect

4 days ago

Chennai, Tamil Nadu, India beBeeEngineer Full time ₹ 18,00,000 - ₹ 25,00,000
Job Title: AI Engineer - LLMs

A leading organization is seeking an experienced AI Engineer with a strong foundation in Large Language Models (LLMs) to join its growing AI/ML team.

The ideal candidate will play a pivotal role in designing, fine-tuning, and deploying high-scale, LLM-powered applications. You will work with state-of-the-art models, build scalable NLP pipelines, and productionize intelligent systems for real-world impact.

Key Responsibilities:
  • Design, train, and fine-tune LLMs for specific business applications using open-source and proprietary models.
  • Build and scale NLP pipelines for text generation, summarization, classification, Q&A, and semantic search.
  • Develop and implement Retrieval-Augmented Generation (RAG) systems using vector databases.
  • Integrate LLM-based solutions into production environments ensuring scalability, performance, and reliability.
  • Optimize inference performance of large models for real-time applications.
  • Collaborate with data scientists, product managers, and backend engineers to deliver intelligent features end-to-end.
  • Leverage prompt engineering and custom adapters (LoRA, PEFT, etc.) for model tuning and efficiency.
  • Maintain reproducible ML workflows using MLOps tools and CI/CD practices.
Required Skills & Qualifications:

The successful candidate will have:

  • 5+ years of total experience in software/ML engineering with at least 2 years in LLMs/NLP applications.
  • Proficiency in Python and hands-on experience with ML/DL frameworks such as PyTorch or TensorFlow.
  • Deep understanding of transformer architectures and modern LLMs (GPT, LLaMA, Claude, Gemini, etc.).
  • Experience with prompt engineering, fine-tuning, or instruction tuning.
  • Practical experience with RAG pipelines, embedding models, and vector databases like FAISS, Pinecone, or Weaviate.
  • Experience deploying LLM applications in production at scale (preferably on cloud platforms like AWS, Azure, or GCP).
  • Familiarity with containerization (Docker), API integration (FastAPI/Flask), and model serving.
  • Working knowledge of MLOps tools (MLflow, Weights & Biases, etc.) is a plus.
Why Join Us?

This opportunity offers the chance to work at the cutting edge of LLMs and generative AI, collaborate with a global cross-functional team, and make a meaningful impact in healthcare and pharma sectors through AI-driven innovations.

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