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Jobs(38,923)/Platform Engineer Role(550)/Kayzen (16) - LLM Platform Engineer/Lead (m/f/d)
Kayzen

Kayzen - LLM Platform Engineer/Lead (m/f/d)

Remote - EMEA, Remote India3mo ago
RemoteStaffAPACCloud ComputingArtificial IntelligencePlatform EngineerAWSGCPAzurePythonDocker

Requirements

• AI Tooling & Framework Experience (Core Focus) • 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 • Startup Mindset • Startup Mindset • 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 • Experience with  agent-based systems  and tool calling • Experience setting up  guardrails, moderation, and safety checks • Familiarity with  Docker, cloud infra, and CI/CD • Prior work in  platform teams or enablement roles

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

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

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