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
Senior Data Platform Engineer building and operating an integrated data platform for a fintech startup. Collaborating across teams to design scalable architecture in a competitive market.
Platform Engineer supporting production MySQL environments at Bold Commerce, enhancing reliability and operational maturity while collaborating with Engineering teams.
Platform Engineer developing backend services and data workflows for financial platforms at Shift Markets. Focusing on building and scaling infrastructure, data pipelines, and system design.
Junior Power Platform Developer for Intact, designing and building solutions to enhance operational efficiency. Collaborating with stakeholders and IT to automate workflows and improve processes.
Sr. Staff Platform Operations Engineer managing on - premise and cloud - based Linux infrastructure for Cloudera. Designing and implementing automation and security practices while mentoring junior staff.
Web Administrator / Platform Engineer for remote crypto news platform, managing platform operations and collaborating with editorial and product teams on technical improvements.
Platform Engineer contributing to data infrastructure and architecture solutions at Kroll. Designing production - grade data pipelines and collaborating with engineers and data scientists.
Platform Engineer focusing on optimizing and maintaining MySQL infrastructure at Clio. Collaborating with teams for database reliability and performance in legal tech.
Engineering Manager leading AI - native engineers responsible for multi - cloud foundations at Spotify. Overseeing platform security and driving developer tooling evolution as part of the Platform team.