Full Stack Software Engineer - Mid Level (Must be UK based)

PolyAI builds enterprise voice assistants that have natural conversations with customers to solve their problems. Our voice assistants understand customers, regardless of what they say or how they say it. We serve enterprises where customer conversation is an important part of doing business. Our customers include some of the leading names in banking, hospitality, insurance, retail, and telecommunications.

Our enterprise clients deploy PolyAI voice assistants to cut down on wait times and free up live staff to focus on calls requiring empathy and judgement. As a result, our enterprise clients see improved customer satisfaction, employee retention and operational efficiency.

We are seeking a mid-level  Full Stack Software Engineer. This role offers the opportunity to work end-to-end, from design to implementation, on creating features which enable a simple user experience for interacting with complex AI systems. If you are passionate about Python, React, and building tools that empower non-technical users to get the most out of AI, we would love to hear from you!

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.

Requirements

• 1-2+ years professional experience in a full stack development role
• 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
• Hiring Manager Interview
• Two back-to-back coding interviews (45 and 60 minutes each)
• A 30 minute behavioural interview with our CTO / VP Engineering

Benefits

💰 Participation in the company’s employee share options plan

🏝 25 days holiday, plus bank holidays

🏡 Flexible working from home policy plus a one-off WFH allowance when you join

🌎 Work from outside of the UK for up to 6 months each year

🧡 Enhanced parental leave

🚲 Bike2Work scheme

📚 Annual learning and development allowance

👨‍👩‍👧 Company-funded fertility and family-forming programmes

🌸 Menopause care programme with Maven

🏥 Private healthcare and dental cover, discounts on gym members and relaxation apps, and access to a range of mental health programs

Equal Opportunity Statement:

PolyAI is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

All employment decisions at PolyAI will be based on the business needs without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, neurodiversity status or disability status.