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Senior Software Engineer, AI Voice Agent

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Aircall
Full Time position
Listed on 2026-04-20
Job specializations:
  • Software Development
    AI Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Overview

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer communications by bringing voice, SMS, Whats App, and AI together into one seamless workspace.

Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.

Aircall is headquartered in Paris, with a strong North American presence anchored in Seattle, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We’ve built a product customers love and a business that’s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.

At Aircall, you’ll join a company in motion. We’re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.

How we work at Aircall

We’re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you’ll feel at home here.

About Your Role

At any given moment, businesses running on Aircall are fielding calls their teams can't handle alone. Outside business hours, during peak volume, across languages, around the clock. Our AI Voice Agent is what answers. It's not a simple IVR or a canned response bot. It's a real time AI voice agent that understands context, talks to customers naturally, executes actions mid-conversation, and knows when to hand off to a human.

As a Software Engineer on this team, you'd work at the intersection of real time systems, production LLM applications, and voice infrastructure. The problems are hard in a specific way: milliseconds matter when someone's on the line, latency shapes whether a conversation feels natural or robotic, and the quality of your work is immediately audible to thousands of customers.

This isn't AI prototyping. It's production AI at scale, and one of the fastest moving product areas at Aircall.

What you ll work on
  • Real-time Speech Pipeline: You'll work on live audio systems: buffering, streaming, latency optimization, and the integration points with speech providers. When latency creeps up, you investigate and fix it. When a new provider looks promising, you evaluate and potentially integrate it.
  • The Conversation Intelligence: Conversation quality depends on how well we manage the LLM layer. Prompt construction, context management, function calling, instruction ordering. You'll build and improve the systems that make conversations feel natural: dynamic knowledge injection, action execution with branching logic, and the dialogue management that turns a phone call into something useful.
  • Actions and Integrations: Businesses configure AI Voice Agent to execute tasks during calls. Look up account data, create tickets, check order status. You ll work on the action framework: configurable API calls, success/failure branching, auth management and the runtime execution engine.
  • Knowledge and Memory
    : A voice agent is only as good as what it knows. You ll work on how agents ingest, store, and retrieve knowledge re s also the question of memory: how agents retain information across a conversation, learn from prior interactions, and use context to give better answers over time.
  • Agent Lifecycle and Configuration: Customers need to create, configure, test, and deploy voice agents easily and intuitively. You ll work with our designers to translate cutting edge advanced AI concepts and features into smooth, reliable and easy to use product experiences.
  • Evaluations and Quality: Voice AI quality is measurable. You ll help build evaluation frameworks for each model involved, post-call analytics, call quality metrics, and Datadog instrumentation. You ll also be part of the on-call rotation.
What you ll bring
  • You have experience building production backend systems…
Position Requirements
10+ Years work experience
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