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Granola

AI Engineer

London
Posted 18 days ago
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Hey! We're team Granola 👋

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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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

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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.

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Skills

LLM Development
Evaluation Frameworks
Prompt Engineering
Semantic Retrieval
Embeddings
Vector Stores
RAG
Knowledge Graphs
Hybrid Search
TypeScript
React.js
Node.js
LLM Infrastructure
Product Design
Applied AI

Location

London, England, United Kingdom

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