AssemblyAI Logo

AssemblyAI

Senior Software Engineer, Inference

Posted One Month Ago
Be an Early Applicant
Remote
Hiring Remotely in United Kingdom
Senior level
Remote
Hiring Remotely in United Kingdom
Senior level
Build and scale production inference infrastructure and customer-facing APIs for AssemblyAI’s voice AI models. Partner with researchers and applied engineers to productionize model capabilities, transforming prototypes into reliable, low-latency, well-documented products. Contribute across backend services, SDKs, inference systems, and internal tooling while incorporating customer feedback into product and research direction.
The summary above was generated by AI
Why AssemblyAI

AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences. The Voice AI space is at an inflection point; we’re looking for folks truly excited to join a small team and help define the future of the industry.

We are one of the most capital-efficient AI companies on the planet - with under 100 people generating roughly $600K ARR per employee, we sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. That's not an accident; it's a deliberate choice to stay lean, move fast, and give every person on the team outsized ownership and impact. With thousands of customers including Granola, Fireflies, Figure AI, and CallRail, the company has real scale - processing over 2 million hours of audio daily and handling more than 1 million API calls every day. This is a rare growth-stage opportunity where the business is proven and the trajectory is steep, but the team is still small enough that your fingerprints are on everything.

If you've ever felt buried under layers of bureaucracy, starved of real ownership, or frustrated watching your work disappear into a slow-moving org, AssemblyAI is built differently. The company operates as a true meritocracy, with no heavy planning or approval processes and no gatekeeping on the tools or information you need. For anyone who genuinely cares about voice AI, not as a trend to chase, but as a technology to build,  this is the place where the most interesting problems at the most interesting scale are being solved by a team small enough that you'll actually know everyone's name.

We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. No matter your race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply!

About the role:

We're hiring a Software Engineer to help turn cutting-edge AI research into products our customers rely on every day. You'll sit on a fast-paced engineering team between our research org and our Applied teams, taking new model capabilities from proof of concept to robust, well-documented APIs serving production traffic at scale.

What You’ll Do:
  • Design and ship customer-facing APIs that expose new model capabilities, owning them from prototype through launch and ongoing iteration.
  • Scale inference infrastructure to support our 1M+ api users
  • Partner with researchers to productionize new techniques. For example, turning a notebook or POC into something with the latency, reliability, and ergonomics customers expect.
  • Work with our customers and Applied teams to understand how users are building with our products, and feed that back into product design and research direction.
  • Contribute across the stack as needed: backend services, inference infrastructure, SDKs, internal tooling.
What You’ll Need:
  • Strong backend engineering experience, including building and supporting machine learning infrastructure and/or customer-facing APIs in production.
  • Comfort operating with ambiguity. Research timelines and product timelines don't always line up, and you're energized rather than frustrated by that.
  • Genuine curiosity about AI/ML. You don't need to be a researcher, but you should want to understand what the models are doing well enough to make good engineering decisions around them.
  • Strong collaboration skills. You'll be working daily with researchers, applied engineers, and sometimes customers, people with very different contexts and priorities, and the role only works if you enjoy that.

Pay Transparency:

AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on paying competitively for our size, stage, and industry, and are one part of many compensation, benefit, and other reward opportunities we provide.

There are many factors that go into salary determinations, including relevant experience, skill level, qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.

The provided range is the expected salary for candidates in the United Kingdom. Outside of those regions, there may be a change in the range which will be communicated to candidates throughout the interview process.

Salary range:  £120,000 -  £145,000

AI to Interview:

If you’re selected for an interview, please review this resource to better understand how AssemblyAI approaches the use of AI in our interview process.

GDPR privacy notice:

Candidates from the EU should review this job applicant privacy notice before applying. 

Keep Exploring AssemblyAI:

Speech-to-text | Streaming speech-to-text | Speech Understanding | LLM Gateway
Try the Playground
Our $50M Series C fundraise
Check us out on YouTube!

Similar Jobs

11 Days Ago
Remote
United Kingdom
Senior level
Senior level
Cloud • Security • Software • Generative AI
Develop and maintain Elasticsearch’s Inference API and plugin framework, integrating internal and external AI providers. Responsibilities include API and protocol design, streaming, asynchronous execution, rate limiting, configuration, billing integration, error handling, open-source contribution reviews, incident response, and comprehensive unit, REST, and rolling-upgrade testing. The role requires advanced Java expertise, concurrency and parallelism knowledge, API design skills, cross-functional collaboration, and autonomous work in a distributed team.
Top Skills: ElasticsearchGradleJavaJdkMachine LearningMavenRest ApiServer-Sent Events (Sse)Yaml
49 Minutes Ago
In-Office or Remote
Senior level
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Manage the full sales cycle for SMB and mid-market UK merchants, from prospecting through close. Build customer relationships, exceed sales targets, develop pipeline strategies, and sell Square’s commerce and financial services solutions. Collaborate with Product, Marketing, onboarding, and other cross-functional teams to address customer needs and improve sales performance.
Top Skills: Salesforce
An Hour Ago
In-Office or Remote
Entry level
Entry level
Events • Food • Travel • Hospitality • Hotels & Resorts
Supports remote and onsite deployment of Hilton’s Property Engagement Platform across hotels. Responsibilities include troubleshooting, technical guidance, database configuration, hardware and interface setup, PMS data migration, testing, training, and hotel operations support. Collaborates with managers and internal and external support teams, assists with migration projects, and helps train new team members. This fixed-term contract runs through December 2027 and requires travel up to 80%.
Top Skills: Central Reservation Systems (Crs)Database SystemsHardware InterfacesProperty Engagement Platform (Pep)Property Management Systems (Pms)

What you need to know about the Bristol Tech Scene

Along with Gloucester, Swindon and Bath, Bristol is part of the "Silicon Gorge" tech hub, a region in the U.K. renowned for its high-tech and research-driven industries, with a particular emphasis on sustainability and reducing environmental impact. As the European Green Capital, Bristol is home to 25,000 cleantech companies, including Baker Hughes and unicorn Ovo Energy. The city has committed to achieving net-zero emissions within the next decade.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account