Full Stack Engineer - Voice team (must be UK based)

PolyAI is tackling the challenges of automating customer service through voice. Our voice assistants make it possible for businesses to deliver outstanding customer service at every touchpoint.

We're on the lookout for a Full Stack Software Engineer to join our tech team and play a key role in crafting user-friendly voice experiences. In this role, you'll be responsible for the development of our in-house voice stack, helping develop both front-end features on our user-facing platform as well as internal tooling.

Collaborating with a diverse engineering team, you'll contribute to a cohesive and scalable codebase. Your focus includes implementing new features on our platform. If you're passionate about technology, enjoy tackling challenges, and are eager to contribute to our friendly, innovative environment, we'd love to welcome you aboard!

Your responsibilities will involve:

• Building and maintaining internal tools which allow speedy data annotation and curation for training machine learning models, as well as admin panels for observability and rollouts of critical pipeline changes.
• Contributing to our user-facing platform for building and configuring voice assistants, particularly
• Contributing to the implementation of our multi-tenant infrastructure, across multiple cloud vendors.
• Taking a major role in our software development, through writing code, tests, as well as contributing to design ideas, documents and performing code reviews.

• 1-2+ years Professional experience in a full stack development role, or a front end development role with interest in expanding the back end skillset.
• Hands-on experience in designing, deploying, and maintaining RESTful APIs
• Experience with multiple programming languages. In house we use Python and Go for backend. For front-end we use React, NextJS, Typescript etc.
• Working proficiency in verbal and written English
• Bachelor’s degree or Master’s in Computer Science, Engineering, a relevant technical field or equivalent practical experience

Preferred Qualifications:

• Experience with one or more cloud services: AWS, GCP, Azure
• Understanding of algorithms, data structures, system design and complexity analysis
• A background or interest in applied machine learning, supercharging teams by building internal tools
• Finds enjoyment in technical challenges and wants to contribute directly to solutions in a start-up environment.

Our interview process:

• Intro call with the Talent team
• A take-home coding problem
• Two back-to-back coding interviews (45 and 60 minutes each)
• A 30 minute behavioural interview with our CTO / VP Engineering