Join Kayzen as LLM Platform Lead

Kayzen Careers: LLM Platform Engineer / Lead

Kayzen is a mobile demand-side platform (DSP) on a mission to democratise programmatic advertising. We power the world’s best mobile marketing teams with a self-serve platform built on performance, transparency, and control.

How big is our scale? We handle 160B+ daily ad requests from 1.6B+ unique users, serving up to 1B+ ads per dayacross 180 countries. Our Platform Engineering team manages distributed systems handling 2 million requests per second with sub-millisecond latency. Now, we are looking for an LLM Platform Lead to evangelise AI and build the foundational infrastructure that will power our next generation of features.

 About the Role: Building the AI Operating System

We aren’t looking for academic researchers; we need a Platform Builder. This role focuses on developer velocity, reuse, and production readiness. You will create the workflows that allow our entire engineering team to ship AI-powered features quickly and safely.

Key Responsibilities:

• AI Framework Design: Build internal AI SDKs and shared libraries to enable frictionless AI integration across teams.

• Standardisation: Set patterns for LLMs, embeddings, agents, and RAG pipelines.

• Observability & Safety: Build reusable components for prompt management, cost control, evaluation, and AI safety guardrails.

• Prototyping: Rapidly turn AI experiments into production-grade, reusable building blocks.

• AI Evangelism: Guide the company through documentation, hands-on examples, and best practices for AI reliability.

Tech Stack & Requirements

The ideal candidate is a strong software engineer who has transitioned into the AI/LLM space and understands the nuances of shipping AI to production.

Core Focus:

• AI Tooling: Hands-on experience with LLM APIs (OpenAI, Anthropic), RAG pipelines, and vector databases.

• Programming: Expert Python skills (required) with a focus on building maintainable, production-grade code.

• Platform Experience: Proven track record building frameworks, SDKs, or developer tooling.

• Production Proven: You have shipped at least one LLM-powered feature to production and iterated based on real-world telemetry.

• Data Infrastructure: Familiarity with data lakes, streaming/batch ETL, and cloud infrastructure (AWS/GCP).

Startup Mindset:

• A bias for shipping and iteration.

• The ability to translate complex AI concepts into simple abstractions.

• Thinking in terms of leverage and reuse rather than one-off solutions.

 Why Join Kayzen?

You will be joining a multinational team of industry experts and entrepreneurs who are disrupting the AdTech market.

• High Visibility: Reporting directly to the Co-founder & CTO (Servesh).

• Global Scale: Solve technical challenges unique to a platform handling petabytes of data and millions of RPS.

• Flexible Culture: Work-from-home flexibility with a global team spread across Germany, India, UK, Argentina, and more.

• Growth Budget: $1,000 annual learning and development budget + $500 home-office setup.

 How to Apply

Kayzen is looking for engineers who thrive on ambiguity and rapid change.

1. Highlight Your Experience: Focus on the AI tools you’ve built and the features you’ve shipped.

2. Submit Your Application: Connect with our CTO, Servesh, and the platform team to start the conversation.

[Apply Now: LLM Platform Lead at Kayzen]