Torq is your security product’s favorite security product. Our enterprise-grade security hyperautomation platform unifies and automates the entire security infrastructure to deliver unparalleled protection and productivity. Torq drives maximum value and efficiency from existing security investments. It supercharges security teams across the Fortune 500 with powerful, easy-to-use no-code, low-code, and full-code workflows that reduce manual tasks, freeing security professionals to focus on higher-value strategic activities.
There’s electricity in the air at Torq. We’re a dynamic, extremely motivated team of go-getters. Every one of us is inspired to propel our customer and partner ecosystem to new heights through hyperautomation. We’re always looking for amazing people across every discipline to join Torq.
We are looking for an experienced LLM Engineer to join our fast-growing company during an exciting stage of innovation. In this role, you'll design and develop Agent and LLM-based features, craft and optimize high-quality prompts, and build datasets and benchmarks to evaluate and monitor applications effectively. If you're passionate about staying at the forefront of Large Language Model advancements and collaborating with a team of experts, we’d love to hear from you!
What Will You Do?
- 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.
What Should You Bring to the Table?
- 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.
Preferred Qualifications
- A strong focus on data and data quality, with the ability to optimize data flows for developing cutting-edge LLM-based applications.
- Familiarity with LangGraph or other LLM-based frameworks
- The ideal candidate possesses a data science mindset combined with an engineer's agility and focus on swiftly bringing solutions into production.
As an equal opportunity employer, we are committed to a team defined and empowered by diversity. We consider qualified applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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What We Do
Torq's no-code automation modernizes how security & operations teams work with easy workflow building, limitless integrations and numerous pre-built templates.
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