Product Engineer

Glyphic AI Limited; Greater London; On-site; GBP 45,000 - 65,000; Full time

Job summary

A dynamic AI startup in Greater London is seeking a full-stack engineer to shape their AI-powered conversation intelligence platform. The ideal candidate will have over 2 years of experience with React and Python, focusing on building reliable systems and engaging with customers. You'll join a nimble team that values autonomy and feedback, offering a competitive salary and hybrid working conditions. If you have a passion for solving complex problems and a customer-oriented mindset, this is the role for you.

Benefits

Competitive salary

25 days paid time off

Budgets for equipment and learning

Flexible public holidays

Qualifications

• 2+ years of experience in full-stack roles, preferably in high-growth startups.
• Experience in building production systems with a focus on testing and maintenance.
• Experience in building Gen AI / LLM applications is highly valued.

Responsibilities

• Shape the product by working across the tech stack.
• Implement clean, well-tested code, ensuring reliability and maintainability.
• Engage with customers to understand and improve their experience.

Skills

Full-stack development

React

Python

Customer-oriented approach

Problem-solving

Tools

Git

Docker

CI/CD

AWS

MongoDB

Job description

Glyphic is an AI-powered conversation intelligence platform that transforms how sales teams work. We're on a mission to free sales professionals from tedious tasks and unlock the hidden insights in every conversation, empowering teams to build stronger relationships and close more deals. Backed by leading venture capital investors, we're building the future of sales intelligence.

• Building our product from end to end: You’ll be one of the early Engineers shaping our product, and will work across our whole tech 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: Build AI‑powered tools that delight users and make complex sales workflows effortless and enjoyable.
• Get involved forming an early stage business: Help define our culture, brainstorm marketing ideas, and more there's so much to do beyond software development.

Your profile

• You can work full‑stack, experienced and up to date with best practices in React and Python.
• 2+ years of experience, preferably high‑growth startups.
• You’ve built and maintained production systems, with experience in testing, Git, Docker, and CI/CD.
• Experience building Gen AI / LLM applications is highly valued.
• 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.

Why us?

• Startup atmosphere: Fast decisions, autonomy, no bureaucracy.
• We are a nimble team that values kindness, curiosity, and playfulness. The rest of our values will be defined together!
• We build based on customer feedback, not impromptu ideas.
• Our startup is well funded and backed by world‑class investors and advisors.

Benefits and setup

• We have a hybrid working setup. We’re typically in the office 3 or more days a week.
• We offer competitive salary and generous options.
• 25 days of paid time off and flexible public holidays.
• Budgets available for both equipment and learning.

Meet the team

• Adam Liska – CEO: DeepMind, Spotify, PhD University of Trento
• Devang Agrawal – CTO: DeepMind, Apple, University of Cambridge
• Tom Waszkowycz – Senior Product Engineer: Freetrade, Bloomberg, University of Cambridge
• Alexandr Medvedev – ML Engineer: Permutable.ai, EF, PhD Belarusian State University
• Diogo Neves – Product Engineer: Apple, Sony Playstation, University of Lisbon
• Walid El Kotob – Product Engineer: Murex, UCL
• Oğuzhan Keskin – ML Engineer: Pabolo, University of Cambridge
• Chatura Fernando – Product Designer: Google, Intercom, IBM, UAL
• Abdul Emad – Product Engineer: Adsum, Loughborough
• Kulvir Sokhal – Product Engineer: Data Futurists, UCL
• You?

Hiring process

1. Introduction call with an engineer
2. Take‑home task
3. Task discussion with a senior engineer
4. Onsite with interviews with engineers, product and founders