At a Glance
- Tasks: Accelerate AI adoption by building tools that enhance engineering productivity.
- Company: Join Aircall, a unicorn redefining customer communications with innovative AI solutions.
- Benefits: Enjoy competitive salary, work-life balance, and a fast-learning environment.
- Other info: Collaborative culture with strong leadership support and opportunities for growth.
- Why this job: Make a real impact on how engineers work every day with cutting-edge AI technology.
- Qualifications: 5+ years in software engineering with a focus on GenAI systems and developer tools.
The predicted salary is between 63000 - 77000 £ 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.
About the Role: 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)
- 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 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: 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.
Location: London. Collaboration with teams in Europe/US expected.
Why Join Aircall: 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.
Bottom Line: 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. 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. 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.
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.
AI Productivity Engineer in London employer: Aircall.io, Inc.
Aircall is an exceptional employer, offering a dynamic work environment in London where innovation meets collaboration. With a strong focus on employee growth, competitive benefits, and a commitment to diversity, equity, and inclusion, Aircall empowers its team members to thrive while making a tangible impact on the engineering productivity landscape. Join us to be part of a fast-paced, entrepreneurial culture that values meaningful contributions and work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land AI Productivity Engineer in London
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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✨Tap into Online Developer Communities
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We think you need these skills to ace AI Productivity Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Aircall.io, Inc..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Aircall.io, Inc. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Aircall.io, Inc.
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Aircall.io, Inc. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
