Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.
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 so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.
Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We’ve built a product customers love and a business that’s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.
At Aircall, you’ll join a company in motion. We’re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.
How we work at Aircall: We’re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you’ll feel at home here.
We are hiring a Senior 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.
What You’ll Do
As a Software AI Engineer, you will:
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
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
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
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
You’ll be successful if:
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
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
London
Collaboration with teams in Europe/US expected
High-leverage role with company-wide impact
Direct influence on how hundreds of engineers work every day
Strong leadership support and clear mandate
Opportunity to shape how AI is applied responsibly and pragmatically
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.
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 & benefits
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.
Want to know more about candidate privacy? Find our Candidate Privacy Notice here.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Skills Required
- 5+ years of experience as a software engineer, with recent focus on generative AI systems
- Experience building production-grade systems rather than only prototypes
- Hands-on experience with large language models such as OpenAI or Anthropic
- Experience with prompting, retrieval, and context injection
- Experience building AI-powered tooling or internal platforms
- Solid backend engineering skills, including APIs, services, and integrations
- Experience with developer tools, CI/CD, GitHub or GitLab, Jira, and observability systems
- Strong product mindset and comfort operating in ambiguous problem spaces
- Experience building developer tools, internal platforms, or developer experience tooling
- Experience evolving traditional tooling into AI-assisted or AI-driven workflows
- Familiarity with MCP, agent-based systems, or model orchestration
- Experience integrating AI with large codebases, monorepos, or complex CI/CD environments
- Exposure to security, privacy, and trust considerations in internal AI systems
Aircall Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Aircall and has not been reviewed or approved by Aircall.
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Healthcare Strength — Employer-paid core medical, dental, and vision coverage is emphasized, alongside mental health and wellness support. Coverage is described as starting quickly after hire and complemented by wellness reimbursements and related programs.
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Parental & Family Support — Generous parental leave for primary and secondary caregivers is highlighted, with added childcare reimbursements. Family-oriented benefits are positioned as part of a supportive culture.
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Leave & Time Off Breadth — Unlimited PTO, wellness days, and paid volunteer time are offered. Time-off policies are framed to encourage rest and work-life balance.
Aircall Insights
What We Do
Aircall is the phone system for modern business. An entirely cloud-based voice platform that integrates seamlessly with popular productivity and helpdesk tools that workplaces are already using, Aircall was built to make phone support as easy to manage as any other business workflow—accessible, transparent, and collaborative.
Why Work With Us
At Aircall, we’re equally thrilled by our ambitious goals, and by the journey that will lead us there. Our culture is rooted in our mission: we believe that now more than ever, good communication has the ability to make a difference. We’re learning, trying, and improving every day.
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