LLM/AI Engineer

• Seeking a skilled and hands-on AI/LLM Engineer to join the AI development team.
  

• Ideal candidate will have strong experience with Large Language Models (LLMs), including prompt tuning, model finetuning, and invocation orchestration.
  

• Role focuses on designing, integrating, and optimizing LLM-powered systems to improve the overall user experience.
  

• Will collaborate closely with product and engineering teams to evaluate, refine, and deploy conversational and generative AI solutions in real-time applications.
  

Key Responsibilities

• Perform LLM finetuning using techniques such as prompt tuning and lightweight adaptation methods.
  

• Build and manage invocation pipelines from applications to different LLMs (e.g., OpenAI, Anthropic, Mistral, local models).
  

• Design prompting strategies to elicit accurate, consistent, and contextually relevant model outputs.
  

• Define and evaluate LLM responses based on use case relevance, factual accuracy, and UX quality.
  

• Continuously iterate and improve the response quality and user experience based on feedback and metrics.
  

• Collaborate with product managers and designers to align AI behavior with business needs and product goals.
  

Required Skills & Experience

• Proven experience working with LLMs, including prompt engineering and finetuning techniques (e.g., LoRA, PEFT, adapters).
  

• Familiarity with frameworks such as Hugging Face Transformers, LangChain, or LLamaIndex.
  

• Experience in real-time LLM integration into web or mobile applications.
  

• Strong understanding of response evaluation frameworks, including qualitative and quantitative methods.
  

• Programming proficiency in Python; experience with deployment tools and APIs is a plus.
  

• Ability to work in a fast-paced, collaborative, and iterative development environment.