Aircall3mo ago

USD 160000–220000/yr

AI Productivity Engineer

San Francisco OfficePermanent Full Time Employeemid

Data ScienceOtherEngineer

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Quick Summary

Overview

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.

Technical Tools

Data ScienceOtherEngineer

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.

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

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

United States (preferred: Seattle or San Francisco)

Open to strong US-based candidates in other locations

Collaboration with teams in Europe expected

Listing Details

Posted: January 20, 2026
First seen: March 26, 2026
Last seen: April 24, 2026

Posting Health

Days active: 29
Repost count: 0
Trust Level: 44%
Scored at: April 24, 2026

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Aircall

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We believe in the power of conversation. We want to empower Sales & Supports teams to truly connect with customers, bring meaning to a conversation, and create long-lasting business impact.

Employees

750

Founded

2014

Domain

aircall.io

Jobs

View 112 jobs

View company profile

Salary

USD 160000–220000

per year