LLM Engineer - 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.