Level

Retell AI

Staff Engineer, Platform & Systems

Retell AI is hiring a Staff Engineer, Platform & Systems. It pays $225k-$350k a year and Level rates it ; you can apply on Retell AI.

Level's read on this job

  • Builds AI ●●●● is how Level rates this role: the job is building AI systems.
  • The posting mentions visa sponsorship.
  • The posting mentions speech among its tools and skills.
  • Level classes it as a lead role.
  • Retell AI has 27 other open roles on Level.

AI in this role

speech

ABOUT RETELL AI

Retell AI is using first-principles thinking to reimagine the call center with cutting-edge voice AI. Thousands of companies now use Retell's AI voice agents to handle sales, support, and logistics calls that once required large teams of human agents. Backed by Y Combinator, Alt Capital, and other leading investors, we've scaled to $80M in ARR with a team of 50, up from $5M at the start of 2025, and are now valued at over $1.5B.

Our vision for 2026 is to build a modern CX platform where entire contact centers are powered by AI. Instead of basic automation that needs constant human tuning, we're creating intelligent AI “workers” that act as frontline agents, QA analysts, and managers, continuously executing, monitoring, and improving every customer interaction.

We're growing fast and looking for ambitious builders who want to tackle hard technical problems, move quickly, and have a real impact on one of the fastest-growing voice AI companies in the world.

Let's build the future together.

Recent recognition:

 

ABOUT THE ROLE

Retell AI transforms customer experience with voice AI for enterprises, including customers like CVS/Aetna, American Airlines, Lenovo, and Grab. We have more customer stories than we can tell!

We’re looking for a Principal/Staff Engineer to help own the technical direction of our core platform. This is a staff-level IC role for someone who thrives in ambiguity, moves fast, and raises the bar for everyone around them.

You’ll work across systems, infrastructure, and product surfaces partnering closely with engineering, product, and leadership to scale what’s already working and build what’s next.

This is not a “ticket taker” role. You’ll define problems, design solutions, and ship.

KEY RESPONSIBILITIES

  • Own the design and evolution of core platform and systems architecture.

  • Lead complex technical initiatives end-to-end, from concept to production.

  • Make high-leverage technical decisions that balance speed, reliability, and scale.

  • Raise the technical bar through design reviews, mentoring, and hands-on leadership.

  • Partner closely with product to translate business needs into robust technical solutions.

  • Identify and resolve performance, scalability, and reliability bottlenecks.

  • Help define engineering best practices as we scale the team and platform.

YOU MIGHT THRIVE IF

  • You have 9+ years of experience building and operating production systems.

  • You’ve operated at Staff or Principal level (or equivalent scope), even if the title wasn’t official.

  • You’re strong in systems design and can reason clearly about tradeoffs.

  • You move fast but care deeply about correctness, reliability, and maintainability.

  • You’re comfortable owning ambiguous problems and defining the path forward.

  • You’ve built or scaled platforms used by real customers at meaningful volume.

  • You enjoy being hands-on writing code, reviewing designs, and unblocking teams.

Bonus points if you’ve worked with: distributed systems, Voice AI, real-time systems, APIs at scale, infra/platform work, or developer-facing products.

WHY THIS ROLE

  • Real ownership over core systems.

  • Direct influence on product and company direction.

  • A small, high-caliber team with very little process drag.

  • Problems that matter to customers, revenue, and scale.

If you want a role where your decisions visibly shape the company, this is it.

JOB DETAILS

  • Cash: $225-$350k

  • Equity: Offers Meaningful Equity

  • Location: Redwood City, CA, US (100% Relocation Provided)

  • US Visas: Retell AI is open to sponsoring work authorization for qualified candidates, including H-1B, TN, L-1, E-3, F-1 (OPT/CPT), and O-1 visas.

OTHER BENEFITS

  • 100% coverage for medical, dental, and vision insurance

  • $70/day DoorDash credit for unlimited breakfast, lunch, dinner, and snacks

  • $200/month wellness reimbursement (gym, fitness classes, etc.)

  • $300/month commuter reimbursement (gas, Caltrain, etc.)

  • $75/month phone bill reimbursement

  • $50/month internet reimbursement

COMPENSATION PHILOSOPHY

  • Best Offer Upfront: Choose from three cash-equity balance options; no negotiation needed.

  • Top 1% Talent: Above-market pay (top 5 percentile) to attract exceptional builders.

  • High Ownership: Small teams, >$1M revenue/employee, and significant equity.

  • Performance-Based: Offers tied to interview performance, not experience or past salaries.


INTERVIEW PROCESS

  1. Recruiter Screen (15min): Speak with a member of the talent team to learn more about us and which team you would be a good fit for.

  2. Technical Interview (45 min): Practical coding session focused on code fluency and system design (For frontend roles, we will focus on React-specific questions. For backend roles, we take a technology-agnostic approach.)

  3. Technical Interview (45 min): This is a systems design-focused interview. There will be no coding; we want to assess your skills in systems design.

  4. Onsite/Virtual Interviews (2–3 hrs): Hosted in our office if located in the Bay Area or virtual, with three rounds:

    1. Practical Coding: Tackle real-world coding tasks with debugging.

    2. System Design: Architect a production-ready system.

    3. Tools & Automation: Build automations or improve workflows in any basic environment setup like python, java, node.js, etc.

How we rate this

Staff Engineer, Platform & Systems at Retell AI rates 82 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Speech

Questions you could be asked

  1. What have you built with speech recognition or text-to-speech, and where did it break?
  2. How would you decide a model or AI system is ready to ship?
  3. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: Speech. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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