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Senior LLM Engineer

2 months ago

Bengaluru, India micro1 Full time

About Us:

We're passionate about connecting top-tier remote developers with handpicked Silicon Valley companies. Our goal is to provide developers with competitive and stable income and access to the best companies in the industry, all while offering them a flexible work environment and a host of amazing benefits. We're proud to work with trusted partners such as Webflow, IMX, Deel, Immutable, O’Gara, LegalSoft, and more.


What we offer:

  • Work remotely
  • Lots of PTO
  • Monthly analysis for raises
  • Healthcare insurance
  • Wi-Fi costs covered
  • Unlimited Udemy courses (and books)
  • and much more


About the Role:

We are seeking a highly skilled and motivated Large Language Model (LLM) Engineer to join our AI research and development team. The ideal candidate will have a strong background in natural language processing (NLP), machine learning, and deep learning, with specific expertise in developing, fine-tuning, and deploying large language models such as GPT-3, GPT-4, or similar. This role will involve working on innovative projects that leverage LLMs to solve complex problems and enhance our products and services.


Responsibilities:

  • Design, develop, and implement large language models for various applications.
  • Scaling GenAI or similar applications to accommodate a high number of users, large data size, and reduce response time.
  • Crafting and optimizing prompts using different strategies, including providing context and zero-shot techniques
  • Creating prompts that efficiently guide LLMs to generate outputs meeting business requirements


Requirements:

  • Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on NLP, machine learning, or AI.
  • Required skills: RAG, Prompt engineering, Langchain, LlamaIndex, DSPy
  • Good understanding of various LLMs like Azure OpenAI and proficiency in their effective utilization
  • Experience in creating GenAI applications such as answering engines, extraction components, and content authoring.
  • Solid working knowledge of the engineering components essential in a Gen AI application, including Vector DB, caching layer, chunking, and embedding
  • Proficiency in programming languages such as Python, and familiarity with deep learning frameworks like TensorFlow, PyTorch, or similar.
  • Strong understanding of NLP concepts, including tokenization, attention mechanisms, transformers, and transfer learning.