Support Engineer (Contract)

Posted 25 Days Ago
10 Locations
Remote
72K-90K Annually
Mid level
Artificial Intelligence • Information Technology • Software
The AI voice agent platform running 100 million-plus calls a month for 4,000+ customers.
The Role
Provides technical onboarding and deployment support for enterprise customers using voice AI agents. Responsibilities include designing integrations, building conversational agents, debugging production issues across APIs, telephony, webhooks, and LLMs, analyzing logs and transcripts, resolving incidents, and translating customer feedback into product improvements. The role partners with Engineering, Product, Customer Success, customer developers, and telephony providers.
Summary Generated by Built In
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 grown 20x from $5M to $100M+ in annualized revenue run rate in under two years, reaching a $1.5B+ valuation.

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:

  • Voice AI Startup Hits $100 Million Run Rate With $4.6 Million Funding

  • Retell ranked #1 in G2 Voice AI evaluation

  • No. 1 Best Places to Work in the Bay Area, San Francisco Business Times 2026

  • Top 50 AI Apps, a16z (2025)

  • #3 Fastest-Growing Software Company, G2 Best Software Awards 2026

  • Best Agentic AI Software, G2 Best Software Awards 2026

  • #4 Fastest-Growing Software Vendor, Brex Benchmark 2025

  • Enterprise Tech 30 Class of 2026, Nasdaq & Wing VC

  • Top-Ranked Startup, Lean AI Leaderboard

  • Backed by Y Combinator

 
Location: Remote, with overlap with Pacific Time hours
Type: Full-time 1099 contract

About the role

You’ll be the technical partner enterprise customers lean on to get voice agents live and keep them working. You’ll build alongside customer engineering teams, debug production issues, and turn what you learn into product improvements. If you like being in the room when a customer’s agent takes its first real call, and you can trace a dropped call through telephony, webhooks, and the LLM, this role is for you.

You’ll work with Engineering, Product, and Customer Success, and with customer developers, IT teams, and telephony providers.

What you’ll do

Get enterprise customers live and scaling

  • Lead technical onboarding for enterprise accounts, from kickoff and architecture review through go-live and ramp.

  • Help customers move from pilot to production, including concurrency planning, load readiness, and rollout strategy.

  • Build trusted relationships with customer engineering, IT, and security teams.

Build with customers

  • Build voice agents with customers in Retell: prompts, conversation flows, knowledge bases, voice and language settings, and call transfer.

  • Design integrations with customer systems such as CRMs, scheduling tools, ticketing, and internal APIs, using custom functions, webhooks, and the Retell API and SDKs.

  • Advise on conversation design and deployment strategy for new use cases such as inbound support, outbound campaigns, appointment booking, and qualification.

  • Work directly in customer codebases when needed.

Debug and resolve production issues

  • Troubleshoot live deployments: call quality, latency, interruptions and turn-taking, transcription errors, hallucinations, tool-call failures, and unexpected agent behavior.

  • Debug APIs, webhooks, authentication, SIP trunking and telephony (carrier setup, number routing, call transfers, caller ID), and custom LLM integrations.

  • Use call logs, transcripts, and post-call analysis to find root causes, then write clear post-incident summaries for customers.

  • Escalate to Engineering with reproducible cases and the context needed to fix issues fast.

Shape the product

  • Capture customer feedback and turn it into specific, prioritized product requests.

  • Spot repeated issues and write the docs, templates, and playbooks that stop them from recurring.

  • Work with Product and Engineering to test new features with real customers.

What we’re looking for

Must have

  • Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.

  • 2-8 years of professional experience in Technical Support Engineering, Customer Success Engineering, Solutions Engineering, Forward Deployed Engineering, Software Engineering, or a similar technical role.

  • Strong technical problem-solving skills and comfort debugging distributed systems.

  • Hands-on experience writing code, debugging APIs, and a deep understanding of versioning and code review process and best practices.

  • Clear communication: you can explain a technical issue to a developer and to a business stakeholder, in writing and live.

  • Comfort working directly with customers, including during live launches and incidents.

  • Availability for meaningful overlap with Pacific Time working hours.

Nice to have

  • Python or TypeScript experience.

  • Experience with LLMs, prompt engineering, or voice AI and conversational AI platforms.

  • Telephony knowledge: SIP, VoIP, PSTN, and providers like Twilio or Telnyx.

  • Familiarity with latency optimization, speech-to-text and text-to-speech, or real-time (WebSocket) systems.

  • Startup experience and enterprise customer experience, including security reviews and compliance questions (SOC 2, HIPAA).

You might thrive here if

  • You’d rather build with customers than hand them a ticket response.

  • You stay calm when a production call flow breaks and you enjoy tracing the cause.

  • You’re curious about how AI voice agents work and can tell when the problem is the prompt, the integration, the carrier, or the platform.

  • You move fast, take ownership, and are comfortable in an early-stage environment with a lot of ambiguity.

  • You like working across Engineering, Product, and Customer Success.

Details
  • Employment type: Full-time 1099 contractor

  • Location: Remote

  • Compensation: $5,250-7,500 USD/month, based on experience and location

  • Hours: Some overlap with our Pacific Time team and customers is required

Skills Required

  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
  • 2-8 years of professional experience in Technical Support Engineering, Customer Success Engineering, Solutions Engineering, Forward Deployed Engineering, Software Engineering, or a similar technical role
  • Strong technical problem-solving skills and comfort debugging distributed systems
  • Hands-on experience with REST APIs, webhooks, authentication, logs, and network traces
  • Clear written and verbal communication with technical and business stakeholders
  • Comfort working directly with customers during live launches and incidents
  • Availability for meaningful overlap with Pacific Time working hours
  • Python or TypeScript experience
  • Experience with LLMs, prompt engineering, voice AI, or conversational AI platforms
  • Knowledge of SIP, VoIP, PSTN, and telephony providers such as Twilio or Telnyx
  • Familiarity with latency optimization, speech-to-text, text-to-speech, or real-time WebSocket systems
  • Startup and enterprise customer experience, including security reviews and compliance questions such as SOC 2 or HIPAA
  • Willingness to travel occasionally for launches or onsite work

Retell AI Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Retell AI and has not been reviewed or approved by Retell AI.

  • Fair & Transparent Compensation — Compensation is presented as above-market with a “Best Offer Upfront” approach and disclosed cash–equity options tied to interview performance. Public ranges for key roles indicate clearly communicated bands and meaningful equity components.
  • Healthcare Strength — Health coverage is described as 100% employer-paid for medical, dental, and vision. This signals comprehensive protection without employee premium costs.
  • Wellbeing & Lifestyle Benefits — Daily meals via credits or unlimited catering, plus reimbursements for gym, commuting, phone, and internet, are prominently offered. These benefits reduce day-to-day expenses and support convenience and wellness.

Retell AI Insights

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The Company
HQ: San Carlos, California
73 Employees
Year Founded: 2023

What We Do

Retell is the #1 voice AI agent platform, enabling you to build, test, deploy, and monitor voice AI agents. Industries such as healthcare, insurance, financial services, and logistics use Retell to automate and enhance call operations. In November 2026, Retell reached $100 million in annualized run rate with $4.6 million raised, in under three years. More than 4,000 customers run 100 million-plus calls a month on Retell.

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