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 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, tackling challenges such as scale and reliability in real time communications, speech recognition and text-to-speech pipelines and MLOps. 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.
- Developing software for enhancing the performance, scalability and feature set of our real time communications platform.
- 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.
Minimum Qualifications:
- 2+ years Professional experience in a software development role
- Hands-on experience in designing, deploying, and maintaining RESTful APIs
- Experience with multiple programming languages, such as Python, Go or Javascript
- Experience with one or more cloud services: AWS, GCP, Azure
- Working proficiency in verbal and written English
- Understanding of algorithms, data structures, system design and complexity analysis
- Bachelor’s degree or Master’s in Computer Science, Engineering, a relevant technical field or equivalent practical experience
Preferred Qualifications:
- Experience with Javascript, Typescript and React. This role is mainly a backend role with a focus on internal tooling and APIs, but we expect building and maintaining of very simple wrapper UIs
- Experience with Agile processes such as scrum, kanban, sprints
- A love of learning and experimentation with new technologies and programming languages.
- A background or interest in applied machine learning, supercharging teams by building tools
- Finds enjoyment in technical challenges and wants to contribute directly to solutions in a start-up environment.
Our interview process:
- An initial phone call (30 minutes) with the hiring manager
- A take-home coding problem
- Two back-to-back coding interviews (45 mins each)
- A 30 minute behavioral interview with our Management Team
💰 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
📚 Yearly learning budget
🚲 Bike2Work scheme
📚 Annual learning and development allowance
🏡 One-off WFH allowance when you join
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.
Top Skills
What We Do
PolyAI builds enterprise conversational assistants that carry on natural conversations with customers to solve their problems. Our conversational assistants understand customers, regardless of what they say or how they say it.