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Torq, a cybersecurity company experiencing rapid growth, is seeking an experienced LLM Engineer to join their team in an exciting phase of innovation. The LLM Engineer will be responsible for design and development of Agent and LLM-based features, crafting and optimizing high-quality prompts, and building datasets and benchmarks to evaluate and monitor applications effectively. This role requires close collaboration with other team members, contributing to a culture of innovation, and mentoring new team members.

What will role involve:
  • Take part in all development aspects, from design to production, of Agent and LLM-based features and applications.
  • Craft and optimize high-quality prompts to enhance application functionality and output quality.
  • Develop datasets and benchmarks to evaluate and monitor LLM-based applications effectively.
  • Stay up to date with state-of-the-art research in the field of Large Language Models and apply relevant advancements to improve our applications.
  • Collaborate closely with other team members and contribute to a culture of innovation and continuous improvement.
  • Mentor new team members and share your expertise to strengthen the team's collective knowledge.

Requirements:
  • Significant real-world experience developing software for production systems, with at least 5 years of experience
  • Proficiency in LLM application concepts and techniques such as Retrieval-Augmented Generation (RAG), embeddings, Chain-of-Thought (CoT) prompting, and more.
  • Hands-on experience with developing datasets, evaluation benchmarks, and performance monitoring systems for LLM applications.
  • A solid understanding of state-of-the-art advancements in the field of Large Language Models and natural language processing.
  • Ability to take initiative, scope work iteratively, and make meaningful design decisions to drive projects to completion.

What role offers:
  • Opportunity to work in a fast-growing company
  • Opportunity to contribute to a culture of innovation.
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Torq