Staff AI Software Engineer
AI Infrastructure
Agentic Frameworks
About the Role
Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide. 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.
We are looking for an engaged and passionate Staff AI Software Engineer to join our growing engineering department. 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 will be part of your day to day.
Using Node.js and TypeScript back-end stacks, 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
- Collaborate with product managers, designers and other engineers
- Mentor and promote tech growth within the teams
- Stay up-to-date on new technologies and architectures
- Participate in an on-call rotation
Our Tech Stack:
TypeScript/Node.js, Python, REST API/GraphQL APIs, Ruby/Rails, React. AWS/Serverless or EKS, PostgreSQL, DynamoDB, OpenSearch, Redis.
A little about you:
- 5+ years experience in software development using TypeScript & Node.js/Python/Ruby/Rails
- AI experience is a must: 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 — 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 with frontend applications a big plus (React)
- Nice to have: AWS production experience for high volume / high availability services
- Effective and proactive communication skills
Location: Paris Office, France. Hybrid.
