Engineering Lead

Engineering Lead

What you’ll do

Responsibilities

• Lead and grow an exceptional team: Manage, coach, and develop a team of AI, backend, and frontend engineers. Set clear expectations, build an inclusive high-performance culture, and raise the engineering bar through hiring, feedback, and technical mentorship.

• Evolve technical architecture for Kai: Define and evolve the architecture for agent orchestration, context and retrieval, tool integrations, identity and access control, observability, and evaluation systems. Make sound trade-offs across quality, latency, reliability, cost, security, and time to market.

• Build trusted AI products: Lead the delivery of production-grade AI features from discovery through launch and iteration. Establish clear product and model success metrics, instrument customer journeys, and use real-world feedback to continuously improve Kai’s usefulness and trustworthiness.

• Make evaluation and safety release disciplines: Build repeatable, versioned evaluation practices for task success, groundedness, tool use, safety, and domain-specific failure modes. Define launch criteria, staged-rollout and rollback mechanisms, and monitoring that detects regressions as models, prompts, and data evolve.

• Deliver resilient, scalable systems: Drive engineering excellence across service design, APIs, data pipelines, reliability, performance, cost efficiency, testing, incident response, and operational readiness. Define and improve SLOs for critical Kai services.

• Partner across the business: Work closely with Product, Design, Data, Security teams to translate business needs and model capabilities into secure, coherent customer experiences. Communicate technical decisions and risks clearly to stakeholders.

• Enable responsible action-taking: Champion robust authentication, authorisation, permission checks, auditability, and human-in-the-loop patterns for agent actions. Ensure Kai behaves predictably and appropriately in the context of customers, products, and regulatory obligations.

• Build for leverage: Create reusable agent platforms, developer tooling, quality frameworks, and engineering standards that allow multiple teams to safely ship high-quality AI experiences.

• Who you are

Minimum qualifications:

• Experienced engineering leader: You have 8+ years of software engineering experience, including 2+ years leading, managing, or formally mentoring engineers. You have a track record of building strong teams and delivering complex products end to end.

• Hands-on Agent builder: You have deep experience designing and operating scalable agentic architecture, backend or distributed systems.

• AI product and platform fluency: You understand the engineering realities of retrieval, model integration, agent workflows, evaluation, observability, and changing model behaviour.

• Quality and reliability driven: You bring a disciplined approach to evaluation, monitoring, incident management, performance, and operational readiness. You know that AI quality requires measurement and iteration, not intuition alone.

• Security-minded: You understand secure software design and appreciate the importance of authentication, authorisation, data protection, auditability, and abuse prevention in systems that access sensitive data or initiate actions.

• Applicant Safety Policy: Fraud and Third-Party Recruiters

• To protect you from recruitment scams, please be aware that we will not ask for bank details, sensitive ID numbers, or any form of payment during the application or interview process. All official communication will come from an official domain. Please apply only through official channels.

• Equal opportunity

• We are proud to be an equal opportunity employer. We value diversity and everyone seeking employment is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.