AI Engineer, Granola
Core Harness
+ Equity
More information about location
5 days a week in office (Old Street, London)
The AI notepad for people in back-to-back meetings
Open for applications
The AI notepad for people in back-to-back meetings
21-100 employees
Open for applications
+ Equity
More information about location
5 days a week in office (Old Street, London)
21-100 employees
Company mission
To build tools that help humans think better.
Role
Who you are
- We are looking for a self-starting engineer, passionate about applying the latest advancements in LLMs to create user-centric products
- You’ve built with models and investigated their failures. You can explain where a system struggled, how you diagnosed the problem and what made it better
- You think across the whole agent. You’re interested in how model behaviour, context, memory, tools and execution interact, and can reason about which part needs to change
- You have judgment about agent/model behaviour. You notice when an agent is being unhelpful, taking unnecessary steps or acting with too little information. You care about making it feel capable, responsive and trustworthy
- You enjoy a field where the answers keep changing. You try new capabilities, develop your own understanding of their strengths and limitations, and revisit earlier decisions when the evidence changes
- Love working in a startup environment (you either have experience working in a startup or are really drawn to the zero-to-one phase)
- 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)
- 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
What the job involves
- The Core Harness team builds the systems that turn models into useful, reliable agents at Granola: the agent loop, tools, memory, context management and execution environment. We own how those pieces work together, so agents can understand a user’s work, take action across their tools and follow through on complex tasks
- As an AI Engineer on the team, you’ll work across model behaviour and the systems that shape it. That might mean deciding what an agent should remember, helping it recover when a tool fails, or redesigning its execution loop to make use of a new model’s capabilities
- 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
Salary benchmarks
Our take
Granola is a London-based startup that treats company meetings as a source of organisational knowledge. Rather than introducing a note-taking AI to meetings, Granola integrates with audio capture tools to seamlessly record online and in-person conversations. In doing so, it removes the need for AI agent integration, maintains a frictionless set-up and sheds platform dependency and compatibility issues.
Since launching its Mac app in 2024, Granola has seen explosive growth, with weekly growth rates above 10%R and expanding across Mac, iOS, and soon Windows. It has quickly become a must-have tool for people who want beautifully crafted, intelligent software that lightens workloads and amplifies impact.
And the team behind it is an experienced one (the CEO's previous startup was acquired by Google) and has raised to Series C in venture capital from world-class investors, including the co-founder of Instagram and senior leaders from Google and Facebook. Now at a $1.5 billion valuation, it counts the likes of Mistral AI, Cursor and Gusto as clients. Well on the way to achieving its objective of becoming a queryable context layer for meetings, Granola provides a seamless alternative to third-party recording bots and looks set to scale further.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 5 rounds)
Mar 2026
$125m
SERIES C
May 2025
$43m
SERIES B
Total funding: $197m
Company benefits
- Grow a product / business from 0-1, with a strong influence on business decisions
- Flexible, parent-friendly culture - We default to in-person, but feel free to WFH when you need to
- 🇪🇸 Casa Granola: use our team house sunny Majorca (yes, you read that right). It’s a space for offsites, going deep on a project with a small group, or just inviting friends/family for a holiday
- Daily LunchFree lunch, delivered fresh to the office every weekday.
- A beautiful, light-filled Old St office full of plants and good vibes, with a roof deck and great views.
- Private health insurance: Free for you, subsidised for your family
- Holiday: 25 days paid time off each year
- Parental Leave: 20 weeks primary care giver / 12 weeks secondary care giver - fully paid, with optional phased return.
- Cycle to Work: Get a new bike tax-free through our Green Commute Initiative scheme.
- Pension: Modern, flexible pension via Penfold with up to 7% matching.
Company HQ
London, UK
Articles
Leadership
Christopher Pedregal
(Co-Founder & CEO)Has worked as a Product Lead and Product Manager for Google. Was previously founder & CEO of Socratic prior to its acquisition by Google.
Sam Stephenson
(Co-Founder)Ex Product designer and front-end developer. Designed consumer-facing products with Ideaflow, Carv, Swim Smooth, and others.
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