We are looking for an LLM Platform Engineer /Lead who can evangelise AI across the company and build the foundational tooling, frameworks, and workflows that allow teams to ship AI-powered features quickly and safely. This role is ideal for an engineer who understands modern AI capabilities and focuses on developer velocity, reuse, and production readiness rather than training complex models from scratch.
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
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).
Strong Engineering & Platform Skills
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
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
Nice to have
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
What do we offer?
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
