Senior Software Engineer, AI

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, WhatsApp, and AI together into one seamless workspace.

Our momentum comes from a simple idea: help teams work smarter, not harder. 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, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City.

As a Senior Backend & AI Engineer, you will be responsible for the design, development, deployment, and operation of business-critical AI features. Previous experience implementing AI features is a must. Best practices, evangelization, and mentoring in your team and across all of Engineering will be a part of your day-to-day job. You will be building practical applications such as chatbots, virtual assistants, automated content generation, and other NLP-powered tools. You will use and fine-tune existing LLMs to cater to specific business needs and domains, ensuring high performance in real-world applications.

Your Responsibilities:

• Collaborate on requirements analysis to design the right technical and business solutions for our customers.
• Propose innovative solutions by staying ahead of AI trends and emerging technologies.
• Own key responsibilities in the design, architecture, and end-to-end delivery of AI-driven modules.
• Write clean, scalable, and maintainable code while ensuring proper testing, deployment, and monitoring.
• Contribute to building secure, high-quality AI solutions that power Aircall’s customer experience.
• Optimize product and platform performance and ensure reliability through live site monitoring.
• Participate in an on-call rotation to handle critical incidents and maintain system uptime.

Qualifications:

• AI experience is a must: strong knowledge of LLMs and hands-on experience building with them, including usage, prompting, and model integration.
• Familiarity with AI frameworks (e.g., LangChain, LlamaIndex, AutoGen) and modern AI architectures such as RAG, vector databases, reranking, and performance optimization.
• 5+ years of experience in back-end development using Python, TypeScript/Node.js, or Java, with a focus on security, scalability, availability, and performance.
• Full-stack development experience is a strong plus.
• Nice to have: AWS production environment experience.

Compensation: $180,000 - $220,000 a year (not including equity and other benefits). San Francisco Office, Hybrid. Permanent Full-Time.