AI Platform Engineer at Kayzen designing internal AI frameworks and enabling integration of AI features. Working on AI tooling for rapid deployment of AI-powered solutions across teams.
Responsibilities
Design and build internal AI frameworks, SDKs, and shared libraries
Enable teams to integrate AI features with minimal friction
Set up standardized patterns for using LLMs, embeddings, agents, and workflows
Build reusable components for prompt management, evaluation, observability, and safety
Define best practices for AI usage, cost control, and reliability
Evangelise AI internally through documentation, examples, and hands-on guidance
Rapidly prototype AI-powered features and turn them into reusable building blocks
Own AI tooling from experimentation to production
Requirements
Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.)
Experience with RAG pipelines, embeddings, vector databases
Familiarity with prompt engineering, prompt versioning, and evaluation
Experience with AI orchestration frameworks
Understanding of AI observability, cost monitoring, and failure modes
You’ve shipped at least one LLM-powered feature to production and iterated based on telemetry or user feedback.
Comfortable with embeddings, fine-tuning, vector search, tokenization, and evaluation methodologies.
Familiar with data lakes/warehouses, feature stores, and streaming/batch ETL; cloud (AWS/GCP/Azure).
Excellent Python skills (required)
Experience building frameworks, platforms, or developer tooling
Strong understanding of APIs, services, and system design
Writes clean, maintainable, production-grade code
Bias for shipping and iteration
Can translate AI complexity into simple abstractions
Comfortable with ambiguity and rapid change
Thinks in terms of leverage and reuse, not one-off solutions
Benefits
Reporting directly to Co-founder & CTO
Direct access to top management and an extremely “visible” role
Exceptional career growth and learning opportunity
A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the Adtech market
A fun, driven, and multinational team located across Germany, India, UK, Argentina, Ukraine, Turkey, Spain and many more countries
A flexible work-from-home arrangement
A 500-dollar home-office setup budget
A 1000-dollar annual learning and development budget
Platform Engineer managing AWS infrastructure and CI/CD pipelines for Kento Health's cardiac care solution. Collaborating with engineers to ensure scalability and reliability of services.
Développeur logiciel pour l’équipe Platform Engineering de Genetec, responsable du système d’authentification unique. Travaillant sur des solutions d’architecture de microservices dans un environnement cloud, avec des technologies à jour.
Platform Engineer developing robust data and ML platform components at Homebase. Collaborating with teams to enable data - driven features and ensure seamless integration.
Staff Endpoint Engineer managing macOS devices for Affirm’s employee - facing IT experience. Responsibilities include scaling device management and leading automation initiatives to enhance security and productivity.
Platform Engineering Manager overseeing hybrid and cloud infrastructures for a tech company. Leading team improvements in production and developer experience across multiple regions.
Data Platform Engineer Intern at Canada Life designing cloud - based data solutions. Contributing to analytics enablement and partnering with stakeholders to enhance data platform capabilities.
Senior Power Platform Developer responsible for enhancing certification platforms and integrating cloud services. Collaborating with engineering teams to enable auto - certification and seamless integration in the Toronto office.
Senior Platform Engineer at Float, designing and maintaining cloud infrastructure and developer platforms. Focus on high performance, scalability, security, and automation for financial services.
AI Platform Engineer at Circle leveraging AI technology to enhance customer experience. Focused on production AI systems and infrastructure for measuring performance and accuracy.