Full Stack Software Engineer, Aircall

• 2–4 years of experience as a software engineer, data engineer, analytics engineer, product engineer, or ML engineer working on user-facing systems
• Full-stack proficiency: comfortable building end-to-end applications with Python (FastAPI/Flask) on the backend and JavaScript/TypeScript (React) on the frontend
• Hands-on AI/LLM experience is a must: you have built or prototyped LLM-powered workflows using APIs from OpenAI, Anthropic, or similar providers. You understand prompt engineering, model integration, and how to ship AI features into production
• Familiarity with modern AI frameworks and patterns such as LangChain, LlamaIndex, or AutoGen, and architectures like RAG, vector databases, reranking, and agentic workflows
• Strong product sense and ownership mentality: you take initiative, move quickly, and care deeply about whether your work is actually used and useful
• Excellent communication skills: you're comfortable working directly with non-technical end users, gathering requirements, doing lightweight design, and presenting solutions
• A builder's mindset with a bias toward action, experimentation, and shipping

Desirable

• We're looking for a Full Stack Software Engineer with a product mindset to join our Data team and help transform how Aircall goes to market
• In this role, you'll partner closely with go-to-market teams — Sales, Marketing, Customer Success, Support, and Revenue Operations — to understand their workflows, identify high-leverage opportunities, and build AI-powered tools that automate processes and boost productivity
• You'll report to the Data team lead while embedding directly with GTM stakeholders to ensure what you build delivers real impact
• You'll move quickly from prototype to production. This role is ideal for engineers who want to be close to users, own end-to-end outcomes, and shape entirely new categories of internal tooling powered by AI
• If you thrive at the intersection of engineering, data, and business operations, this is your opportunity to make an outsized impact
• Build AI-powered tools and applications that accelerate Aircall's go-to-market efforts — from lead enrichment and workflow automation to intelligent dashboards and internal assistants
• Work across the full product lifecycle: prototype, iterate, ship, and maintain production-grade solutions that GTM teams rely on daily
• Embed with GTM stakeholders (Sales, Marketing, CS, Support, RevOps) to deeply understand their pain points, map workflows, and rapidly prototype solutions
• Apply LLMs and AI APIs in novel ways to solve real-world GTM workflow problems — automating repetitive tasks, extracting insights from unstructured data, and enabling smarter decision-making
• Create reusable code libraries, integrations, and MCP servers to enable consumption of AI-powered tooling across the GTM stack (Salesforce, Slack, Outreach, and more)
• Collaborate with the Data & Analytics team to pull customer usage, engagement, and pipeline data and leverage it within your tooling
• Measure and iterate: deploy solutions, track adoption and impact against pre-defined metrics, and continuously refine based on end-user feedback
• Write documentation and runbooks for productionized solutions so others can maintain and debug them