At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace…
Lead AI Engineer
Skills & Technologies
Job Description
Lead AI Engineer Location: Hybrid - London (Flexible) Salary: from £80,000 + bonus + benefits Contract: Permanent, Full-time About the Company We're partnering with a growing technology-focused business investing heavily in AI, automation, and next-generation digital platforms.
The company is building AI-enabled tools and intelligent internal systems designed to improve operations, workflows, and decision-making across the organisation. With a strong engineering culture and a product-led environment, they are focused on delivering practical AI solutions that create measurable business impact.
This is an opportunity to join during a key growth phase and play a leading role in shaping how AI is adopted and deployed across the business. The Role We're looking for an experienced Lead AI Engineer to join a growing engineering team and help design, build, and deploy scalable AI-powered applications and services.
This is a highly hands-on role focused on turning ideas into production-ready solutions. You'll work across backend engineering, AI integration, APIs, cloud infrastructure, and automation while collaborating closely with product and technical stakeholders.
You'll also help evaluate emerging AI technologies and contribute to best practices across AI engineering and platform development. Key Responsibilities
Design and build AI-enabled applications, tools, and workflows
Integrate LLMs and AI services into production systems
Develop APIs, backend services, automations, and data pipelines
Translate business requirements into scalable technical solutions
Prototype and iterate quickly on AI-driven features and use cases
Write clean, maintainable, production-quality code
Improve reliability, scalability, monitoring, and performance of AI systems
Support deployment and operationalisation of AI applications
Mentor engineers and contribute to technical best practices
Work closely with product, engineering, and business stakeholders
Required Background & Skills
Strong software engineering background with backend development expertise
Strong Python experience and cloud-native development
Experience integrating AI / LLM technologies into real-world applications
Experience building scalable production systems
Understanding of APIs, distributed systems, microservices, and system design
Experience with cloud platforms such as Azure, AWS, or GCP
Familiarity with DevOps / MLOps tooling including Docker, Kubernetes, CI/CD, monitoring, and logging
Comfortable operating in fast-paced, product-led environments
Nice to Have
Experience with RAG pipelines, vector databases, or AI agents
Exposure to machine learning workflows and applied AI systems
Experience building internal AI platforms, copilots, or automation tools
Startup or scale-up experience
Why Apply?
Join a growing team investing heavily in AI and emerging technologies
Work on real-world AI products and production systems
Hybrid London role with flexible working
Strong progression opportunities within a modern engineering environment
Competitive salary, bonus, and benefits package
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Company & Role Analysis
JobSeeker+Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.
£45,000 – £60,000 (Glassdoor, Levels.fyi, 2025)
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