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Retell AI

Support Engineer (Contract)

Remote; India; South Africa; Ukraine; Brazil; Mexico; Argentina; Romania; Poland; Serbia; PhilippinesRemote · India
Contract · Technical Success
POSTED 20 OCTVERIFIED 11H AGO
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Role
20 days opentrue age
Posted 20 Oct
Payats field
$5,250–7,500 / month▲ 21.4% since first seen
▼ −17% vs market median $93k
$63k$235k
Market p25–p75
$68k–$126k
H-1B median · Software engineering
$235k
India · n=11 · 365d to 6 Nov
CompanyRetell AI →
20open roles
Opened · 30d
+0
Closed · 30d
−0
3d of snapshots · 30d window
Market
37,653open · Software engineering
Opened · 7d
+2,3586% of open
All software engineering
75,184open
All tracked boards · live 10 Nov · n=37,653
Visa
9H-1B LCAs · FY26
Median wage
$235k
LCAs FY26 · n=9 · to 2026-06-03
LLMs

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

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.

Source · Retell AIFirst seen 2 Nov1 editsOriginal ↗