Build AI-powered tools and applications that accelerate Aircall's go-to-market efforts.
Work across the full product lifecycle: prototype, iterate, ship, and maintain production-grade solutions.
Embed with GTM stakeholders (Sales, Marketing, CS, Support, RevOps) to deeply understand their pain points.
Apply LLMs and AI APIs in novel ways to solve real-world GTM workflow problems.
Create reusable code libraries, integrations, and MCP servers.
Collaborate with the Data & Analytics team to pull data and leverage it within your tooling.
Measure and iterate: deploy solutions, track adoption and impact against pre-defined metrics.
Write documentation and runbooks for productionized solutions.

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.
Familiarity with modern AI frameworks and patterns such as LangChain, LlamaIndex, or AutoGen.
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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonFastAPIFlaskJavaScriptTypeScriptReactAILLMAPIsLangChain

Soft Skills

communicationinitiativeproduct senseownership mentalitycollaborationexperimentationproblem-solvingdesignpresentationbuilder's mindset