Senior LLM Engineer - Remote Opportunity
About the Role
We are seeking a passionate Senior LLM Engineer to join our innovative team at Granola. In this Senior LLM Engineer remote role, you will leverage the latest advancements in large language models (LLMs) to create user-centric products that drive significant value. You will be an integral part of our founding team, directly interacting with users to understand their needs and rapidly developing features that will help scale Granola to its next 100x growth milestone.
What You'll Do
- Own the development and application of LLM-based features end-to-end.
- Build and maintain evaluation frameworks for prompt iteration and semantic retrieval.
- Optimize embeddings and vector stores for performance and scalability.
- Interact with users to understand their problems and design effective solutions.
- Stay up-to-date with the latest trends in LLMs and applied AI practices.
- Collaborate with a cross-functional team of engineers, product managers, designers, and other members to create a cutting-edge product.
Requirements
- Engineering experience at tech and product-driven companies.
- Experience shipping multi-provider LLM-based solutions to production using platforms like OpenAI, Anthropic, or Google.
- Proficiency with LLM infrastructure platforms, including prompt management and logging/tracing.
- Experience designing large-context LLM systems such as RAG, knowledge graphs, and hybrid search.
- Proficient in building features end-to-end with TypeScript, React.js, and Node.js.
Nice to Have
- Experience working in a startup environment.
- Fascination with LLMs and a strong desire to innovate.
- Ability to work closely with a team in a dynamic setting.
What We Offer
- Competitive salary slightly above market rates.
- Above-market equity options.
- Relocation assistance for candidates moving to London.
- A collaborative and innovative work environment.
- Opportunity to work with cutting-edge technology in the AI space.
This Senior LLM Engineer role at Granola offers a unique opportunity to work with cutting-edge AI technology in a collaborative environment. Competitive salary and relocation support make it an attractive position.
Who Will Succeed Here
Proficiency in implementing and optimizing large language models (LLMs) using frameworks like TensorFlow or PyTorch, coupled with a strong background in TypeScript and Node.js to develop scalable applications.
A self-motivated and proactive approach to remote work, demonstrating strong time management skills and the ability to collaborate effectively with cross-functional teams through tools like Slack and Zoom.
A growth mindset with hands-on experience in machine learning, focusing on continuous learning and adaptation to new technologies, particularly in AI, to innovate and enhance user-centric products.
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