Staff AI Software Engineer

Job description

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. 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. We are looking for an engaged and passionate **Staff AI Software Engineer** to join our growing engineering department and be part of our engineering teams. As a Staff AI Software Engineer, you will be responsible for the **design, development, deployment, and operation of AI driven features that add customer value**. Operational excellence, metrics, observability and best practices, evangelization, and mentoring in your team and across the whole of Engineering will be part of your day to day job. Quality, excellence, and agility drive our delivery processes and you will help us level these up. Using NodeJS and Typescript back-end stacks, appropriate for each requirement, but always hosted on AWS, we build added value and resilient services on top of voice and fully integrate with our customers’ business critical tools (CRM, Helpdesk, E-Commerce, …). ### Key Responsibilities: - Own key responsibilities in the design, architecture, and end-to-end delivery of AI-driven modules. - Propose innovative solutions by staying ahead of AI landscape trends and emerging technologies. - Create, design, develop, test, and monitor your code in production autonomously and reliably. - Collaborate with product managers, designers and other engineers to offer pragmatic solutions to real world problems and implement them end to end. - Work with your team to design solutions and be accountable for their execution. - Obtain a good understanding of the business to provide relevant solutions to users and clients. - Mentor and promote tech growth within the teams. - Stay up-to-date on new technologies and architectures, demonstrate good judgment in their potential applications. - Participate in an on-call rotation to respond to critical system issues and ensure continuous system reliability. ### Our Tech Stack: - You do not need to be familiar with all of our technical stack or any specific functional area, but you have a strong willingness to learn and adapt quickly. - Typescript/[Node.js](http://node.js), Python, REST API/GraphQL APIs, Ruby/Rails, React. - AWS/Serverless or EKS, PostgreSQL, DynamoDB, OpenSearch, Redis. €80,000 - €120,000 gross a year This base range is not including a quarterly bonus and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, location, qualifications, and experience. ### A little about you: - You have at least 5+ years experience in software development, using TypeScript & NodeJS/Python/Ruby/Rails or other languages, with a focus on delivering for security, scalability, availability, and performance. - AI experience is a must for this position: Strong knowledge of LLMs and hands-on experience building with them - including usage, prompting and model integration. - Proven understanding and direct experience with Agentic AI systems, including designing, developing, and deploying AI Agents and MCP prototype/servers. - Familiarity with AI frameworks (e.g., LangChain, LlamaIndex, AutoGen) and modern AI architectures such as RAG, vector databases, reranking, and performance optimization. - Experience working on frontend applications is a big plus, preferably with React. - Nice to have: you have worked with AWS in a production environment, preferably for high volume / high availability services and understand how to design for, deploy on and get the best out of, the environment and services provided by Amazon). - Value code simplicity, quality, performance and maintainability. - Can design pragmatic & simple architectures to solve problems at scale. - You possess effective and proactive communication skills, and can collaborate with different profiles and roles.