Sword HealthRemote · Remote - Portugal€50k-€72k
GranolaPosted 21mo ago
AI Engineer at Granola scores 90 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
Hey! We're team Granola 👋 Â
If you haven't already, you should check out what we're building, and why you should work here.
We are looking for a self-starting engineer, passionate about applying the latest advancements in LLMs to create user-centric products.
In this role, you will stay on top of the latest LLM trends, build evaluation frameworks for AI features, and apply your knowledge with a product-oriented focus. You will be an integral part of the founding team, interacting directly with users to understand their needs and rapidly developing features that deliver significant value. Your work will be pivotal in scaling Granola to its next 100x growth milestone.
In this role, you will:
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 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
Your background looks something like:
Engineering experience at tech and product-driven companies
Shipping multi-provider LLM-based solutions to production (using e.g. OpenAI, Anthropic, Google, etc.)
Proficiency with LLM infra platforms (prompt management, logging/tracing, evals)
Experience designing large-context LLM systems (RAG, knowledge graphs, hybrid search, memory)
Building features end-to-end with TypeScript, React.js, and Node.js
As a person, you…
Are first and foremost a builder.
Are excited to work in-person from our office in London (most of the time)
Love working in a startup environment (you either have experience working in a startup or are really drawn to the zero-to-one phase)
Want to be at the cutting edge of building world-class products on top of language models
Are fascinated by LLMs. You love to play with them, figure out what makes them tick and get them to do what you want. You scour the web and reddit for others doing the same (you probably follow @goodside on twitter)
Value working with people who are kind, ambitious and pragmatic
About the opportunity
We are living in the most exciting time for tool builders since Engelbart's demo in 1968. We want to assemble the best crew to build this future together, here in London. Our compensation philosophy is to pay slightly above market on salary and above market on equity.
We do our best work in person, and so our team spends time together five days per week in our new, bright, and spacious office at Old Street. We are happy to offer relocation assistance to candidates who'll be moving to London to join us.
Lastly, we think amazing talent comes from all kinds of life journeys and experiences. If what is written above speaks to you, whether you look like a fit on paper or not, please reach out.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Walk me through how you've used OpenAI in your day-to-day work.
- What are the limits of Anthropic that you've run into, and how did you work around them?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: Rag, OpenAI, and Anthropic. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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