AI Productivity Engineer - San Francisco or Bellevue

Aircall • San Francisco, CA

2d • $160,000 - $220,000

About The Position

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.

Requirements

• 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 Haves

• 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

Responsibilities

• 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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed