Software Engineer, AI Voice Agent

🕒 April 10

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Aircall

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2014

📡 Telecommunications

☁️ SaaS

🏢 Enterprise

💰 Venture Round on 2022-02

Telecommunications • SaaS • Enterprise

Aircall is a leading provider of cloud-based call center software, designed to streamline business phone communications for companies of all sizes. With innovative features like AI-powered conversation intelligence, smart call routing, and seamless integration with over 100 applications including major CRMs like Salesforce and HubSpot, Aircall enhances team productivity and customer interaction. The platform supports VoIP technology for virtual call center operations, eliminating the need for hardware and allowing for remote work. Trusted by over 19,000 companies worldwide, Aircall caters to various industries such as education, finance, and healthcare, offering a reliable and scalable solution for modern customer communication needs.

📋 Description

• You'll work on live audio systems: buffering, streaming, latency optimization, and the integration points with speech providers. • Conversation quality depends on how well we manage the LLM layer. • You'll work on the action framework: configurable API calls, success/failure branching, auth management and the runtime execution engine. • You'll work on how agents ingest, store, and retrieve knowledge at runtime. • Customers need to create, configure, test, and deploy voice agents easily and intuitively. • You'll help build evaluation frameworks for each model involved, post-call analytics, call quality metrics, and Datadog instrumentation.

🎯 Requirements

• You have experience building production backend systems ideally in Python or Typescript (all levels welcome, 5+ years for senior roles). • You write async code naturally, understand how to design for performance and reliability, and have shipped systems that real users depend on. • You understand what makes real-time systems different from request/response API’s. • You've worked with LLMs or AI/ML systems in production. • You know evaluation matters and you've built or used tooling around it. • Event driven architectures, message queues, caching layers, and async task processing feel natural to you. • You've debugged distributed failures and designed systems that handle partial failures gracefully. • Testing strategy, observability, API design, and code review are things you do thoughtfully. • You communicate clearly. • You are familiar with AI coding tools and already embedded them into your day to day engineering processes.

🏖️ Benefits

• Medical, dental, and vision insurance is 100% covered • 401k plan with company matching! • Unlimited PTO — take the time you need to come to work feeling great! • Wellness, commuter, and childcare reimbursements • Generous parental leave policy