AI Productivity Engineer
Aircall.io, Inc.2 days ago
London, United KingdomSenior
Responsibilities
- Own rapid AI adoption across the engineering organization.
- Identify high-friction engineering workflows where AI can improve productivity.
- Design and build production-grade AI-powered developer tooling for coding, testing, pull request reviews, and debugging.
- Build contextual, system-aware AI assistants using internal data, codebases, and engineering tools.
- Prototype, productionize, operate, and iterate on internal AI services and orchestration layers.
- Automate workflows across GitLab, Jira, CI/CD, Slack, and observability tools.
- Own solutions end to end from discovery and design through measurement and iteration.
- Work directly with engineering teams to drive adoption and move tools into daily use.
- Measure adoption, impact, time savings, and productivity improvements with quantitative data.
Requirements
- At least 5 years of software engineering experience with a recent focus on generative AI systems.
- Strong experience building production-grade systems rather than only prototypes.
- Hands-on experience with LLMs such as OpenAI and Anthropic, prompting, retrieval, and context injection.
- Experience building AI-powered tooling or internal platforms.
- Strong backend engineering skills involving APIs, services, and integrations.
- Experience with developer tools, CI/CD, GitHub or GitLab, Jira, and observability systems.
- A product mindset and comfort working independently in ambiguous problem spaces.
- Prior experience building developer tools, internal platforms, or developer experience tooling is preferred.
- Experience evolving traditional tools into AI-assisted or AI-driven workflows is preferred.
- Familiarity with MCP, agent-based systems, or model orchestration concepts is preferred.
- Experience integrating AI with large codebases, monorepos, or complex CI/CD environments is preferred.
- Exposure to security, privacy, and trust considerations for internal AI systems is preferred.
Benefits
- High-leverage role with company-wide impact and direct influence on how engineers work.
- Strong leadership support and a clear mandate to shape responsible, practical AI adoption.
- Fast-learning, entrepreneurial, collaborative, and multicultural work environment.
- Work-life balance is emphasized.
- Competitive salary package and benefits.
- The role is based in London and involves collaboration with teams across Europe and the United States.
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