Life at is all gas, no brakes. Were a team of relentless, collaborative go-getters pushing the boundaries of whats possible for security automation. Every role is an essential driver of success as the AI-native autonomous SecOps platform of choice for security teams across the Fortune 500. Excited about our vision and ready to make an impact as we grow? Wed love to see what you can bring to the team.
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, wed 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.
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.
