Support Engineer (Contract)
Retell AI is hiring a Support Engineer (Contract) for a remote role. Level rates it ; you can apply on Retell AI.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include LLM, Webhooks and prompt engineering.
- Level lists 27 other open roles at Retell AI.
- The role was posted within the past week.
AI in this role
Provide technical onboarding and support for enterprise customers implementing AI voice agents and LLM-powered workflows.
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:
No. 1 Best Places to Work in the Bay Area, San Francisco Business Times 2026
#3 Fastest-Growing Software Company, G2 Best Software Awards 2026
Location: Remote, with overlap with Pacific Time hours
Type: Full-time 1099 contract
Compensation: $6,000-$7,500 USD/month, based on experience
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 with REST APIs, webhooks, and authentication, and with reading logs and network traces to find root causes.
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).
Willingness to travel occasionally for launches or onsite work.
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 USD/month, based on experience
Hours: Some overlap with our Pacific Time team and customers is required
How we rate this
Support Engineer (Contract) at Retell AI rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How have you integrated a large language model into a production application?
- What have you built with speech recognition or text-to-speech, and where did it break?
- Tell me about a project where customer support was part of your work. What did you do?
- Tell me about a project where troubleshooting was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, LLM Integration, Speech, Customer Support, and Troubleshooting. 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.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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