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About the Role

Join the Engineering Productivity team as a Senior Software AI Engineer 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 into everyday workflows. This role focuses on building practical, production-grade AI solutions for engineers, not on research or customer-facing product AI.

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

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.)
Hands-on experience with prompting, retrieval, and context injection
Hands-on experience with 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
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

Skills

GenAI
LLMs
Prompting
Retrieval
Context injection
AI-powered tooling
Internal platforms
Backend engineering
APIs
Services
Integrations
Developer tools
CI/CD
GitHub/GitLab
Jira
Observability
MCP
Agent-based systems
Model orchestration

Location

London

Work Type

Full-time

Experience Level

Senior

Benefits

Competitive salary package & benefits

About the Company

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.
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
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

Equal Opportunity

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.