AI Platform Lead

TechTree; Berlin; Hybrid; EUR 90.000 - 180.000; Vollzeit

Zusammenfassung

An anonymized company in Berlin seeks a hands-on data/AI lead to own the data and AI layer, shaping data flows, retrieval, and internal tools. You will collaborate closely with leadership and cross-functional teams to extend frontier models and MCP integrations.

You will design governance, enablement, and scalable AI practices, with a focus on reliability, security, and practical adoption across the business.

Qualifikationen

• Shipped agentic/LLM systems in production.
• Strong Python across the modern LLM stack.
• Think in systems and data models, not just prompts.
• Evaluation mindset before trusting results.
• Consulting-grade communication with executives.

Aufgaben

• Own the data and AI layer; design data flows and connections.
• Build internal retrieval and search across docs and tools.
• Design and ship automations and agentic workflows.
• Turn AI ideas into reliable internal tools.
• Own access controls, data governance and evals.
• Collaborate with stakeholders to structure workflows.
• Enable non-technical teams to become AI-native.
• Work with partner teams through office hours and sprints.
• Create reusable playbooks from successful implementations.
• Ensure systems are reliable, secure and auditable.

Kenntnisse

Agentic LLM systems

Production Python

Systems thinking

Security mindset

Executive communication

Tools

Frontier model APIs

Vector stores

LangGraph

Agent SDKs

MCP servers

Jobbeschreibung

Note: this posting is deliberately anonymized. We'll share the company and the full context on the first call.

About the role

Imagine being the person who builds it all. As the first dedicated AI hire at a small, AI-forward business in Berlin, you'll own the entire data and AI layer: how information is stored, connected, retrieved and put to work. You'll also work closely with stakeholders across the business to set up good structures, processes and habits around it.

This is a hands-on IC role with real ownership and a direct line to leadership. The team already uses frontier models and MCP connectors day to day. Your job is to take that much further.

What you'll do

Own the data and AI layer

Design how data flows and connects across the business, and make it clean, structured and usable

Build internal document retrieval and search across the knowledge base, docs and communication tools

Design and ship automations and agentic workflows that remove repetitive work

Find new ways to use AI across the business, then turn the best ideas into reliable internal tools

Own access controls, data governance and evals, so the systems are reliable and safe

Work with stakeholders

Sit with people across the business, understand how they work, and agree on the right structures and workflows with them

Run enablement: help a non-technical team become genuinely AI-native

Work hands-on with technical teams of partner companies: office hours, short build sprints and practical AI adoption

Turn what works into reusable playbooks

About you

You've shipped agentic / LLM systems in production: agent pipelines, RAG, evals, MCP servers, workflow orchestration

Strong production Python across the modern LLM stack (frontier model APIs, vector stores, LangGraph / agent SDKs)

You think in systems and data models, not just prompts

An evaluation mindset: you measure before you trust

Consulting-grade communication: you can sit with an exec or a CTO and walk out with a scoped build

Good security instincts and a self-starter who can run parallel workstreams

Roughly 3-9 years of experience; shipping matters more than titles

Fluent English; based in Berlin or willing to relocate (this is an in-person team)

Nice to have

Forward-deployed, solutions or platform engineering at an AI-tooling company or startup

Early-stage startup or founder experience

Public artefacts: open source, technical writing, talks

German or another European language

A greenfield: you own the whole data and AI layer from day one

Real influence on how a small business works, with a direct line to leadership

Small, fast, already AI-curious team in Berlin