At a Glance
- Tasks: Build AI tools that enhance engineering productivity and streamline workflows.
- Company: Join Aircall, a fast-growing unicorn redefining customer communications with AI.
- Benefits: Enjoy competitive salary, work-life balance, and a vibrant multicultural environment.
- Other info: Collaborative team culture with strong growth opportunities and a commitment to diversity.
- Why this job: Make a real impact by improving how engineers work with innovative AI solutions.
- Qualifications: 5+ years in software engineering with a focus on GenAI systems and developer tools.
The predicted salary is between 70000 - 90000 £ per year.
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 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
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 are strongly committed to hiring a diverse and multicultural team and we encourage applications from traditionally underrepresented backgrounds.
AI Productivity Engineer employer: Aircall
Aircall is an exceptional employer that fosters a dynamic and inclusive work culture in the heart of London. As a Sales Intern, you'll benefit from comprehensive training and mentorship, enabling you to grow your skills in B2B software sales while working alongside industry experts. With a focus on innovation and collaboration, Aircall offers a unique opportunity to thrive in a fast-paced environment, making it an ideal place for aspiring sales professionals.
StudySmarter Expert Advice🤫
We think this is how you could land AI Productivity Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Aircall on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the Engineering Productivity team.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your AI projects and developer tools you've built. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and understanding of AI systems. Use platforms like LeetCode or HackerRank to sharpen your problem-solving abilities.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining Aircall and being part of our exciting journey.
We think you need these skills to ace AI Productivity Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the AI Productivity Engineer role. Highlight your experience with GenAI systems and any relevant projects that showcase your skills in building production-grade systems.
Showcase Your Impact:When detailing your past experiences, focus on the impact you've made. Use metrics to demonstrate how your work improved productivity or reduced friction in engineering workflows. We love seeing tangible results!
Be Authentic:Let your personality shine through in your application. We’re looking for someone who fits our collaborative and fast-moving culture, so don’t be afraid to show us what makes you unique and how you can contribute to our team.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows your enthusiasm for joining Aircall. Plus, it’s super easy!
How to prepare for a job interview at Aircall
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially LLMs and how they can be applied in engineering workflows. Be ready to discuss specific examples of how you've built production-grade systems and the impact they've had.
✨Showcase Your Problem-Solving Skills
Prepare to talk about high-friction areas you've identified in past roles and how you've used AI to streamline those processes. Use concrete examples to illustrate your thought process and the results achieved.
✨Demonstrate Collaboration
Since this role involves working closely with engineers across the company, be ready to share experiences where you've collaborated effectively with cross-functional teams. Highlight how you’ve contributed to a product-oriented culture focused on outcomes.
✨Metrics Matter
Understand the importance of measuring success through adoption and impact. Be prepared to discuss how you've tracked metrics in previous projects and how you plan to introduce new metrics to capture AI impact in this role.
