Jobs at KlearNow

Lead strategy and delivery for DevOps, MLOps, and security engineering. Own CI/CD, IaC, container orchestration, AI infrastructure (GPU/TPU, model serving, registries), and cloud security across AWS/GCP. Manage a cross-functional team, define security policies, track KPIs, and drive incident response and automation to balance speed with compliance.

Develop innovative AI solutions, train and optimize machine learning models, and build backend systems for real-world production at scale. Proficiency in Python and familiarity with ML frameworks is required.

Design, develop, and maintain distributed services for large-scale applications. Collaborate on product roadmaps, recruit team members, and ensure high-quality code practices.

Lead integration of security into DevOps pipelines: implement automated security testing, perform threat modeling, enforce secure configurations, develop incident response, and promote security awareness while collaborating with engineering and operations teams to secure cloud-native applications and infrastructure.

Serve as the technical face and trusted advisor for customers, designing platform configurations, delivering training, leading technical discovery and escalations, and advocating customer needs to Product and Engineering to drive adoption and expansion.

Lead and govern the company design system as a product, define AI-native/agentic UX patterns, embed lightweight design reviews in pod workflows, deliver customer-facing dashboards (Zero Touch Release), hire and coach 1–2 designers, and raise product UX quality while enabling rapid weekly releases.

As an AI Architect, you will lead AI strategy, design and implement AI systems, oversee model evaluation, and ensure data ethics, driving innovation in a collaborative environment.

As a Senior AI Engineer, you'll design and deploy AI systems, own AI pipelines, and integrate LLMs into workflows, significantly impacting product direction.

Design and execute comprehensive test cases, identify product defects, collaborate with development to ensure consistent delivery, measure product quality via KPIs, and drive continuous QA process improvements to increase customer satisfaction.