Granola Logo

Granola

AI Engineer

Reposted 19 Days Ago
In-Office
London, Greater London, England, GBR
Mid level
In-Office
London, Greater London, England, GBR
Mid level
As an AI Engineer, you'll develop LLM-based user-centric products, creating frameworks, optimizing systems, and collaborating with cross-functional teams in a startup environment.
The summary above was generated by AI

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

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.

HQ

Granola London, England Office

68 Hanbury St, London, United Kingdom, E1 5JL

Similar Jobs

5 Hours Ago
In-Office or Remote
London, Greater London, England, GBR
Expert/Leader
Expert/Leader
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead the design, development, deployment, and continuous improvement of AI/ML solutions for enterprise customers. Build integrations using Python or JavaScript, APIs, microservices, and enterprise systems; analyze data; automate workflows; address AI risk, privacy, and compliance; and align technical solutions with business goals. Mentor engineers and communicate effectively with technical and non-technical stakeholders in complex, ambiguous environments.
Top Skills: Agent-Based FrameworksAPIsArtificial IntelligenceAtlassian IntelligenceGdprGenerative AiJavaScriptLarge Language ModelsMachine LearningMicroservicesPythonRovo Ai
2 Days Ago
Remote or Hybrid
2 Locations
Entry level
Entry level
Financial Services
Design and deliver enterprise-grade machine learning systems and AI-powered applications for banking. Build scalable, secure, distributed applications and automated cloud, desktop, and ML pipelines. Apply MLOps practices for versioning, reproducibility, and observability while collaborating with cloud and site reliability engineering teams. Develop reusable libraries and business-critical, data-intensive solutions, aligning machine learning problems with business objectives. The role may include mentoring or people leadership.
Top Skills: AWSCloud ComputingDatabasesDistributed SystemsKubernetesLanggraphMachine LearningMessaging And Queue SystemsMlopsMulti-ThreadingPydantic AiPythonTypescript
3 Days Ago
Hybrid
London, Greater London, England, GBR
Entry level
Entry level
Financial Services
Develop and deploy production AI/ML applications for digital banking, using Python, SQL, cloud platforms, LLM patterns, classical machine learning, and data analysis. Responsibilities span requirements gathering, solution design, prototyping, evaluation, deployment support, monitoring, governance, and iteration. The role collaborates with product, operations, marketing, and technical teams to deliver customer and operational improvements while supporting risk, privacy, and model controls.
Top Skills: AthenaAWSBigQueryCi/CdCloud RunGCPGcsGlueGoogle AdkIcebergLambdaLangchainLanggraphLangsmithLlmsLoraMlflowPeftPub/SubPythonPyTorchRagS3Scikit-LearnSQLTensorFlowVertex Ai

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account