ApplySarthi

Applied AI Engineer

AssemblyAI

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1,354 open applied roles across 171 companies are on ApplySarthi right now, most of them in Bengaluru (95), Hyderabad (15), Delhi NCR (7).

What applied roles keep asking for: Python (64%), Machine learning (47%), LLMs (39%), Java (32%), C++ (31%), Deep learning (24%), AWS (23%), Generative AI (18%) — counted across their open postings here.

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AssemblyAI has 21 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for applied roles keep coming back to Python, Machine learning, LLMs, Java. Practise those questions before you sit with AssemblyAI.

Questions you are likely to be asked

  1. Why do you want to join AssemblyAI?
  2. What is your experience with LLMs? Tell me one thing you learned the hard way.
  3. What would you check first if a model's accuracy dropped after going live?
  4. When would you not use machine learning for a problem?
  5. Walk me through a model you built, from the data to how it was used.

Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.

Practise the Applied AI Engineer at AssemblyAI interview free →

Why AssemblyAI

AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. We have a lab, and we also power our own models in our own proprietary inference environment. Our models serve 500M+ inference calls monthly, and process nearly 2 million hours of audio daily. The Voice AI space is at an inflection point; we’re looking for the best talent we can find to join a rapidly scaling team that's defining the future of the industry.

We are one of the most capital-efficient AI companies on the planet - and are rapidly approaching $1M ARR per employee. We sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. We have thousands of customers building with us including the top startups and world-renowned enterprises, and are serving at tremendous scale: we process nearly 2 million hours of audio daily and handle more than 15 million API calls every day. This is a rare growth-stage opportunity where the business is proven, the revenue is durable, and the growth trajectory is steep and getting steeper. We have a super flat culture and expect our employees to be deeply intimate with the details at all levels.

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.

About the role

Applied AI Engineers are the technical half of every deal at AssemblyAI. You'll partner with two Digital Native Account Executives and own the technical side of their book: from the first conversation with customers, to helping them win technical evaluations, to driving successful technical implementations.

Our digital native customers are the fastest-growing AI companies building with voice: voice agents, AI notetakers, dictation, and conversation intelligence. They move fast and test on their own, so speed matters at every step.

This is pre-sales engineering, but far more hands-on than a typical SE role. You'll write code for customers, build MVPs, debug their integrations, tune our models on their real audio, and do whatever it takes to make sure customers have successful implementations. Your AE owns the business case and the commercials. You own the developer and the technical work, and together you make customers happy and get them scaled up.

What you'll do

Customer-facing technical work

Product and roadmap influence

Community and events

What you'll need

Nice to have

Pay transparency

AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity across our team. Our salary ranges are set to be competitive for our size, stage, and industry, and reflect just one component of the full compensation, benefits, and rewards we offer.

Salary determinations consider a variety of factors, including relevant experience, technical depth, skills demonstrated during the interview process, and maintaining internal equity with peers on the team. The range shared below represents a general expectation for the posted position. However, we are open to considering candidates who may fall above or below the outlined experience level—in those cases, we will communicate any adjustments to the expected salary range.

The range provided applies to candidates located in the United States and London, UK. For candidates outside of these locations, compensation ranges may differ; any adjustments will be communicated throughout the interview process.

Salary range (US): $150,000 – $250,000 OTE

Salary range (London): £90,000 – £145,000 OTE

The expected total compensation for this role is listed above (including base salary and variable pay). Our total compensation package includes competitive equity grants, 100% employer-paid benefits, and working alongside the team in our San Francisco, New York City or London office. A 401k match up to 4% is offered to all US-based full time team members.

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Keep exploring AssemblyAI
Transcribe: Speech-to-Text | Streaming Speech-to-Text
Understand: Speech Understanding | LLM Gateway
Interact: Voice Agent API | Dictation API

Try our models in the Playground
See how 50+ LLMs rank on real voice tasks: Voice Standard Bench
Watch us on YouTube

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Listed on greenhouse · posted 2026-11-09. ApplySarthi collects openings and links to application pages; the role is advertised by AssemblyAI, not by us.