At a Glance
- Tasks: Build AI tools to 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 in London 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 in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Aircall or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Aircall.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Aircall.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Aircall that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
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.
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 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
✨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 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.
