Software Engineer, Glyphic AI

£50-75k

React
MongoDB
AWS
TypeScript
Python
REST API
Junior and Mid level
London

2+ days a week in office (London)

Glyphic AI

AI co-pilot tool for sales

Job no longer available

Glyphic AI

AI co-pilot tool for sales

1-20 employees

B2BArtificial IntelligenceEnterpriseProductivitySaaSSales

Job no longer available

£50-75k

React
MongoDB
AWS
TypeScript
Python
REST API
Junior and Mid level
London

2+ days a week in office (London)

1-20 employees

B2BArtificial IntelligenceEnterpriseProductivitySaaSSales

Company mission

To create a customer centric world by helping companies build and sell what people want and need.

Role

Who you are

  • 🧙 You’re a full-stack wizard, experienced and up to date with best practices in React and Python
  • 🏢 2+ years of experience, from large tech companies or high-growth startups
  • 🔧 You've built and maintained production systems, with experience in testing, Git, Docker, and CI/CD
  • 🤖 You're excited about generative AI's potential and want to help customers harness its power! ML/AI experience isn’t required for this role, but there’ll be opportunity to learn from our ML experts
  • 🧬 You like to keep things simple and find elegant solutions to complex problems
  • 👥 You're customer-oriented, with a passion for understanding users and crafting intuitive UX
  • 🧩 You love teamwork but can also work independently to figure things out
  • 🥞 You’re keen to work in our tech stack. It currently includes React, Typescript, and TailwindCSS (front end), Python 3.10, FastAPI, REST, MongoDB, and AWS (backend). Plus you’ll play a role in helping define it further!

What the job involves

  • ️ Building our product from end to end: You’ll be one of the first Engineers shaping our solution, and will need to work across our stack
  • Shipping fast: We like to iterate quickly, and believe done is better than perfect
  • 🧪 Investing in developer experience: You’ll be implementing clean, well tested code, and building scalable, reliable, and maintainable architectures
  • 🤝 Working closely with a high-trust team: Glyphic is a small but mighty team, we’re regularly in the office collaborating together
  • 🗣 Engaging directly with customers: We believe in understanding the customer deeply leads to building the best solution for them
  • 🎨 Crafting a beautiful, intuitive user experience: AI products have a huge potential to turn our users into Sales superheros
  • 🌱 Get involved forming a business from an early stage: Help define our culture, brainstorm marketing ideas, and more—there's so much to do beyond software development!

Salary benchmarks

Our take

As AI becomes more advanced, there’s been a groundswell of startups looking to find useful deployments of it to overhaul different sectors. VC investment in the field at large has hit staggering multi-billion figures annually, and demand is high, meaning it’s fertile territory for talented entrepreneurs. Like the team behind Glyphic.

With extensive high-level expertise in areas like deep learning, NLP, and generative AI, the Glyphic AI team is looking to develop AI-copilot tools to help supercharge the work of industry professionals. The company is looking to start with helping boost sales for top-performing revenue teams.

The sales sector is awash with AI-driven startups, with the likes of InsideSales, Nudge, and 6sense helping companies slash costs, boost leads and appointments by over 50%, and drastically cut call times. So whilst Glyphic is still in the early stages, it’s jumping into a hot market that’s having a substantial impact on the industry. This will help Glyphic truly test and refine its product, and potentially offer a lucrative stepping stone for expansion into other verticals.

Freddie headshot

Freddie

Company Specialist

Insights

Company

Company benefits

  • 25 days of paid time off and flexible public holidays
  • Healthcare benefits
  • Professional development allowance (e.g. conference or course)

Company HQ

Holborn, London, UK

Founders

Completed a PhD in Cognitive and Brain Sciences at the University of Trento, before working as a Research Scientist at Spotify, and then moving up to a Senior Research Engineer and Team Lead role at DeepMind.

Graduated in Engineering from Cambridge, and went on to work as an ML Engineer at Apple, and then a Research Engineer at DeepMind.

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