Lead Large Language Model Architect

1 day ago


Thrissur, Kerala, India beBeeArtificialIntelligence Full time ₹ 1,80,00,000 - ₹ 2,52,00,000

We are seeking an experienced Senior AI Engineer with expertise in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). The ideal candidate will design, develop, and optimize AI solutions using LLMs and RAG frameworks.

  • Design and implement AI solutions using LLMs (e.g., GPT-4, LLaMA, Falcon) and RAG architectures to drive business innovation.
  • Implement and fine-tune models to improve response relevance and contextual accuracy for our organization.
  • Develop pipelines for data retrieval, indexing, and augmentation to enhance knowledge grounding and make informed decisions.
  • Work with vector databases (e.g., Pinecone, FAISS, Weaviate) to enhance retrieval capabilities and optimize AI performance.
  • Integrate AI models with enterprise applications and APIs to create seamless user experiences.
  • Optimize model inference for performance and scalability to meet business demands.
  • Collaborate with data scientists, ML engineers, and software developers to align AI models with business objectives and drive strategic growth.
  • Ensure ethical AI implementation, addressing bias, explainability, and data security to protect our organization's assets.
Requirements
  • 8+ years experience in software development according to industry standards;
  • Strong experience in training and deploying LLMs using frameworks like Hugging Face Transformers, OpenAI API, or LangChain to drive innovation.
  • Proficiency in Retrieval-Augmented Generation (RAG) techniques and vector search methodologies to improve AI performance.
  • Hands-on experience with vector databases such as FAISS, Pinecone, ChromaDB, or Weaviate to optimize AI capabilities.
  • Solid understanding of NLP, deep learning, and transformer architectures to design and develop AI solutions.
  • Proficiency in Python and ML libraries (TensorFlow, PyTorch, LangChain, etc.) to implement AI models.
  • Experience with cloud platforms (AWS, GCP, Azure) and MLOps workflows to deploy and manage AI systems.
  • Familiarity with containerization (Docker, Kubernetes) for scalable AI deployments to meet business needs.
  • Strong problem-solving and debugging skills to resolve complex issues.
  • Excellent communication and teamwork abilities to collaborate with cross-functional teams.
  • Bachelor's or Master's degree in computer science, AI, Machine Learning, or a related field to demonstrate academic excellence.
What We Offer

A competitive compensation package, comprehensive benefits, and opportunities for professional growth and development to support your career goals.

A dynamic and collaborative work environment that fosters innovation, creativity, and continuous learning to drive business success.



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