Top Tech Jobs & Startup Jobs

Lead the architecture and technical vision for production-grade agentic AI applications. Design multi-agent orchestration, memory systems, reasoning pipelines, reliability infrastructure, observability, and high-availability distributed systems. Establish engineering standards, mentor senior engineers, conduct architecture reviews, support hiring, and collaborate with Product, Research, Platform, and AI Ops teams to scale LLM-powered workloads.

Provides Level 1 technical and functional support for Serko.ai through phone and email, investigates and resolves client issues, manages escalations, documents solutions, and contributes to knowledge sharing. The role also supports product release testing, identifies workflow and product improvements, and develops strong platform expertise while maintaining a customer-focused experience for corporate travel and expense clients.

Build and maintain internal platforms and tooling for AI engineers, including React and Next.js dashboards, Python backend services, REST APIs, model deployment automation, observability integrations, and ML pipeline testing. Partner with engineering and ML teams to improve developer experience, production AI reliability, and self-service workflows while documenting systems and runbooks.

Develop end-to-end AI-powered applications, including React/Next.js interfaces, Python or Node.js backend services, APIs, and agentic workflows. Integrate LLM APIs and real-time streaming experiences, design scalable systems, write comprehensive tests, participate in code reviews and on-call support, and contribute to architecture. Collaborate with designers, product managers, and ML engineers to deliver customer-facing products.

Lead end-to-end traveller experience design for an AI-first travel product. Define UX strategy, design and ship web and native mobile interfaces, scale design systems and accessibility, craft AI-augmented workflows, and collaborate cross-functionally to drive product outcomes while mentoring design craft.

Lead the technical vision and roadmap for the company's AI platform: design model-serving, feature stores, experiment tracking, CI/CD for ML, optimize GPU/compute, improve observability, ensure reliability, and mentor senior engineers to enable scalable, safe LLM inference in production.