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Applied AI Engineer

Join AssemblyAI as an Applied AI Engineer to drive technical implementations and customer success in voice AI applications.

Location
San Francisco, United States
Compensation
$150k–$250k/yr
Level
mid
Type
full time · Hybrid

Posted by employer 1 day ago

First seen on Joblaze 1 hour ago

Last verified on the company career page 1 hour ago

What you'll build

  • Build demos, prototypes, and proofs of concept
  • Debug customer code and production issues
  • Help customers evaluate and test products
  • Tweak configurations for robust implementations
  • Represent AssemblyAI at events

Must have

  • Strong programming skills in Python and/or TypeScript/JavaScript
  • Experience with web APIs and real-time data streaming
  • Excellent written and verbal communication

Nice to have

  • Experience at a startup or API-first company
  • Customer-facing experience as a solutions engineer
  • Hands-on work with voice agent frameworks

Practical constraints

  • Must be based in San Francisco, London, or New York City
  • Expectation of 3 days a week in-office attendance
  • Willing to travel roughly 10–25% of the time

Role intensity

70% hands-on coding

AI in the day-to-day

Fluency with AI tools like Claude or Cursor to prototype, debug, and solve problems fast.

Requirements

Education
Bachelor's degree

Not disclosed in this posting: years of experience, visa sponsorship.

Benefits

401k Match Equity/Stock Options Health Insurance

Joblaze summary

In the role of Applied AI Engineer at AssemblyAI, the individual engages in hands-on technical work, collaborating closely with customers to ensure successful implementation of voice AI solutions. Proficiency in programming languages like Python and TypeScript, along with experience in web APIs and real-time data streaming, is essential for this position. This role is well-suited for candidates with a strong technical background, particularly those who have experience in customer-facing technical roles or startups. AssemblyAI's flat culture promotes direct communication and ownership, allowing engineers to influence product development based on customer feedback.

Joblaze insights

  • Listed today — first seen on Joblaze November 11, 2026. Last confirmed on AssemblyAI's careers page November 11, 2026.
  • Salary band is below the typical range for AI/ML roles (median ~$189,308).
  • Starts above 39% of 115 comparable mid ai/ml roles in United States that list Python we track (median $150,000 across 52 companies). See Python salary trends
  • Python appears in 48.9% of 476 comparable mid ai/ml roles in United States; JavaScript appears in 6.5% of 476 comparable mid ai/ml roles in United States.

Quick facts

Is the Applied AI Engineer role remote?
It's hybrid — AssemblyAI expects some on-site time in San Francisco, United States.
What's the salary range?
AssemblyAI lists $150,000–$250,000 for this role.
Where is the role based?
AssemblyAI is hiring for this position in San Francisco, United States.
What's the tech stack?
Joblaze extracted these technologies from the posting: JavaScript, Python, TypeScript, Web APIs, WebSockets, real-time data streaming.
What seniority level is this role?
AssemblyAI targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Applied AI Engineer role at AssemblyAI.

From the original posting

Why AssemblyAI

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

  • Join early, often on the first call, and become the developer's direct line to AssemblyAI in a shared communication channel (often Slack)
  • Help our customers evaluate and test our products: get their success criteria up front, help them design fair benchmarks, and catch mistakes (wrong model, bad truth files, misconfigured streams) early
  • Tweak configurations and help customers design robust implementations for their unique use cases
  • Build demos, prototypes, and proofs of concept in the customer's stack
  • Debug customer code and production issues across our streaming and async APIs
  • Stay close to the customer, earn their technical trust, and deliver first-class service that turns them into champions
  • Work collaboratively with your AEs on every account
  • Meet customers in person, including flying around the world to work with them onsite
  • Stay with the customer through production rollout, then hand off cleanly to our post-sale Forward Deployed Engineers

Product and roadmap influence

  • Influence our roadmap by bringing what you hear from customers to Product, Research, and Engineering, and test new models and features before customers see them
  • Turn customer issues into reproducible cases for Research and Engineering, and track patterns across accounts
  • Contribute to docs, guides, and example code that help developers integrate faster

Community and events

  • Represent AssemblyAI at Voice AI meetups, conferences, and customer events
  • Build developer-facing resources that are shared publicly

What you'll need

  • A strong technical foundation: an engineering degree, a coding bootcamp, a software engineering role, or a sales or solutions engineering role
  • Strong programming skills in Python and/or TypeScript/JavaScript, and the ability to read and debug code in other languages
  • Excellent written and verbal communication; you'll write customer Slack messages, emails, and technical guides every day
  • Experience with web APIs, WebSockets, and real-time data streaming
  • An understanding of audio fundamentals (sample rates, encodings, codecs), or the drive to learn them quickly
  • Fluency with AI tools like Claude or Cursor to prototype, debug, and solve problems fast
  • A high sense of urgency and persistence
  • Comfort with ambiguity and context-switching: you can take a vague problem, figure out what matters, and drive it to resolution, while keeping many customers and priorities moving at once
  • Must be based in San Francisco, London, or New York City, with an expectation of 3 days a week in-office attendance, and willing to travel roughly 10–25% of the time for customer visits, events, and team offsites

Nice to have

  • Experience at a startup or API-first company
  • Customer-facing experience as a solutions engineer, sales engineer, or developer advocate
  • Hands-on work with voice agent frameworks (LiveKit, Pipecat) or speech models
  • Public speaking or community involvement

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.

Using AI in your interview
If you’re selected for an interview, please read our Candidate AI Guidance. It explains how you can use AI at each stage of our process, from your application and take-home to the interviews themselves.

Standard company text repeated across AssemblyAI's postings is omitted here.

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