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Job Details
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Title: Sr. LLM/AI/ML Engineer with Prompt Engineering
Location: Bay Area California (Hybrid)
Duration: Fulltime with CR
Years of Experience: 5-10 Years
Job Description: We are seeking a Senior LLM Engineer/architect with a focus on Prompt Engineering, LLMOps/AIOps to join our team. This role involves developing, deploying, and optimizing large language models (LLMs), with a particular emphasis on creating and refining conversation prompts to enhance AI interactions. The ideal candidate will have extensive experience in deep learning, GenAI (LLM), natural language processing (NLP), AIOps (LLMOPs) and a strong background in prompt engineering techniques.
Responsibilities:
- Design, develop, deploy and optimize LLMs for various NLP and business applications
- Create and refine conversation prompts to improve AI system interactions
- Collaborate with cross-functional teams to integrate LLMs and prompts into AI applications
- Conduct research to enhance model performance and user experience
- Analyze data to identify patterns and trends in user interactions and model performance
- Stay up-to-date with the latest advancements in deep learning, NLP, and LLMs
- Mentor junior engineers and provide technical guidance
- Participate in code reviews and provide constructive feedback to team members
- Document processes, research findings, and model development
- Other duties as assigned
Requirements:
- Bachelor's degree in computer science, engineering, or a related field
- years of experience in deep learning and NLP, AIOps with a focus on LLMs
- Proficiency in programming languages such as Python, Java, or C++
- Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
- Strong understanding of NLP libraries and tools such as NLTK, spaCy, or Hugging Face
- Demonstrated experience in prompt engineering and optimizing LLMs
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal skills
- Ability to work independently and as part of a team
- Experience with cloud platforms such as AWS or Azure is a plus
Preferred Qualifications:
- Master's degree or PhD in computer science, engineering, or a related field
- Experience with large language models (LLMs) like GPT, BERT, etc.
- Knowledge of linguistics or cognitive science
- Publications or contributions to the field of deep learning, NLP, or LLMs