Who Are We Looking For:

We are seeking a proactive Large Language Model (LLM) Engineer to lead the development of text generation systems. The ideal candidate will possess a deep understanding of deep learning and advanced NLP techniques.

Key Responsibilities:

• Architect and fine-tune large language models to generate synthetic text grounded to the statistics of a set of tabular data.
• Collaborate with cross-functional teams, including AI researchers and engineers, to integrate LLM solutions into existing synthetic data generation pipelines.
• Stay updated on the latest advancements in LLMs, ensuring our solutions remain at the forefront of technology.
• Implement prompt engineering strategies to enhance the quality and relevance of generated text.
• Be familiar with finetuning open weights model like Qwen-2, Llama -3 , Mistral for Instruction finetuning and DPO.
• Be familiar with training frameworks like TRL, Unsloth , Hugging face eco system etc.
• Evaluate and optimize model performance
• Develop and maintain comprehensive documentation for model architectures, training recipes and deployment procedures

Essential Skills and Qualifications:

High Priority:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proven experience in developing and deploying large language models, with a focus on text generation.
• Strong understanding of LLM and deep learning techniques, such as Prompt Engineering, Fine-Tuning, RAG, LoRA, etc.
• Strong proficiency in programming languages including Python and deep learning frameworks like PyTorch and Tensorflow.
• Familiarity with prompt engineering techniques and their application in enhancing LLM outputs.
• Excellent problem-solving skills and the ability to work collaboratively in a fast-paced startup environment.
• Strong communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.