Full Stack Software Engineer – GTM AI Automation

🕒 May 6

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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

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Competitive salary package & 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