Aircall is a unicorn AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, faster resolutions, and scale. We’re redefining what a customer communications platform can be—by combining voice, SMS, WhatsApp, and AI into one seamless workspace.
Our momentum comes from a simple but powerful idea: help every customer-facing team work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call tasks, and AI Assist Pro delivers real-time guidance that helps people do their best work. The result—companies grow revenue, deliver faster resolutions, and scale service.
We’ve built a product customers love and a business that scales fast. Aircall operates in nine global offices (Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, and Mexico City), and is backed by world-class investors. Our teams are shipping AI innovation faster than ever and expanding across new product lines and markets.
At Aircall, you’ll join a company in motion—ambitious, profitable, and product-driven—where impact is visible, decisions are fast, and growth is real.
How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right in
We are hiring a Software AI Engineer to join the Engineering Productivity (EngProd) team at Aircall.
Your mission is to accelerate AI adoption across the engineering organization by building AI-powered tools and systems that measurably improve how engineers work — reducing friction, automating repetitive tasks, and embedding intelligence directly into everyday workflows.
This is not a research role and not a customer-facing product AI role.
You will build practical, production-grade AI solutions that engineers use daily, and you will be accountable for their real-world adoption and impact.
This role is about using AI to make engineers more effective, not about chasing trends.
If you enjoy building real systems that people rely on every day — this role is for you.
What You'll Do
Take clear ownership of rapid AI adoption across the engineering organization
Identify high-friction areas in engineering workflows where AI can meaningfully improve productivity
Design and build practical, production-grade AI-powered developer tooling (coding, testing, PR reviews, debugging)
Build contextual, system-aware AI assistants using internal data, codebases, and tooling
Explore, prototype, and productionize AI-driven solutions with strong autonomy on how problems are solved
Automate and streamline workflows across GitLab, Jira, CI/CD, Slack, and observability tools
Design and operate internal AI services and orchestration layers (e.g. MCP servers)
Own solutions end-to-end: discovery → design → build → measure → iterate
Work hands-on with engineering teams to remove friction, enable usage, and move tools from delivery to daily practice
Measure success through adoption, impact, and tangible time saved for engineers
What You Won't Do
Build AI features for customer-facing products
Work on speculative AI research without clear outcomes
Act as a general internal support team
Own generic ML infrastructure unrelated to developer productivity
What We’re Looking For - Required Experience
5+ years of experience as a software engineer, with recent focus on GenAI systems
Strong experience building production-grade systems, not just prototypes
Hands-on experience with:
LLMs (OpenAI, Anthropic, etc.)
Prompting, retrieval, and context injection
AI-powered tooling or internal platforms
Solid backend engineering skills (APIs, services, integrations)
Experience working with developer tools (CI/CD, GitHub/GitLab, Jira, observability)
Strong product mindset and comfort operating in ambiguous problem spaces
Nice to Have
Particularly interesting profiles are engineers who have built developer tools and are now evolving toward AI-native system design.
Prior experience building developer tools, internal platforms, or DevEx tooling
Experience evolving traditional tooling into AI-assisted or AI-driven workflows
Familiarity with MCP, agent-based systems, or model orchestration concepts
Experience integrating AI with large codebases, monorepos, or complex CI/CD environments
Exposure to security, privacy, and trust considerations in internal AI systems
How You’ll Be Successful
AI solutions you build are widely adopted and used regularly by engineers
Engineering productivity measurably improves, using:
existing metrics we already track (e.g. DevEx, CI, delivery, quality, flow), and/or
new, clearly defined metrics you help introduce to capture AI impact
Manual, repetitive workflows are reduced or eliminated, with clear before/after comparisons
Engineering time is visibly saved and reinvested into higher-value work
Improvements are demonstrated with data, not just qualitative feedback
Adoption grows organically because tools are useful, fast, and well-integrated into existing workflows
Team & Environment
You’ll join the Engineering Productivity team
You’ll work closely with engineers across the company
Strong collaboration with Infrastructure and Security teams
Product-oriented culture focused on outcomes, not hype
Location
United States (preferred: Seattle or San Francisco)
Open to strong US-based candidates in other locations
Collaboration with teams in Europe expected
Why join us?
🚀 Key moment to join Aircall in terms of growth and opportunities
💆♀️ Our people matter, work-life balance is important at Aircall
📚 Fast-learning environment, entrepreneurial and strong team spirit
🌍 45+ Nationalities: cosmopolite & multi-cultural mindset
💵 Competitive salary package & equity
🏨 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
DE&I Statement:
At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.
We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.
We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.
