Senior LLM Engineer

About The Role

Responsibilities

• Build Gen-AI applications aligned to the business use cases
• Design, and optimize prompts for multi-modal models based on the use case
• Testing the created GenAI solutions and adding guardrails to prevent unintended/ harmful content generation and derailing
• Design conversational or RAG systems
  

Requirements

• B.E.\B. Tech\B.S. Candidates' entries with significant prior experience in the aforementioned fields will be considered.
• 3+ years of experience with ML/ LLMs
• Knowledge of prompt engineering techniques, including chain of thoughts, tree of thoughts, guardrails, zero-shot or few-shot prompting.
• Knowledge of open-source and proprietary LLMs, such as GPT, Claude, LLaMA, and Mistral.
• Proficiency in Python programming language, with experience in libraries such as numpy, pandas
• Hands-on experience working with Langchain, LlamaIndex, Huggingface, or similar frameworks
• Familiarity with RAG and hands-on experience with self-hosted/cloud-based vector databases.
• A proven ability to work in a cross-discipline environment in defined time frames.
• Experience working with cloud-based systems: GCP/ AWS is a big plus.
• Strong analytical and problem-solving skills
• Strong written and verbal communication skills
  

Location: