Head of Artificial Intelligence

Ai Futures

Berlin

On-site

EUR 120,000 - 160,000

Full time

16 hours ago
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Benefits offered by this job

Equity

Job summary

AI Futures in Berlin seeks a Lead AI Engineer to own core AI architecture and ship production AI products. You will be hands-on, building LLM and agentic systems while guiding a small founding team.

You’ll design architectures, mentor engineers, and shape the product direction with founders. This on-site role offers significant equity and the chance to impact a pre-seed/seed stage startup from day one.

Qualifications

  • Experience shipping LLM, GenAI or Agentic AI products into production.
  • Strong software engineering fundamentals and architecture skills.
  • 0→1 product-building experience and ownership mindset.
  • Willingness to make architectural decisions without a playbook.
  • Product-minded with customer-centric focus.
  • Experience leading or mentoring engineers is desirable.
  • Founding Engineer or early technical hire experience is attractive.
  • Startup experience (pre-seed/seed/Series A) preferred.
  • Based in Berlin or willing to relocate and work on-site.

Responsibilities

  • Build and scale production LLM and Agentic AI systems.
  • Own key AI architecture and technical decisions.
  • Design sophisticated agent workflows, orchestration and tool use.
  • Build systems around evaluation, reliability and AI performance.
  • Solve problems around model quality, latency and cost.
  • Rapidly test new approaches and iterate from real-world feedback.
  • Work with founders on product and technical strategy.
  • Establish engineering standards as the company scales.
  • Mentor engineers and shape the future technical team.

Skills

AI engineering
Software engineering
LLM/GenAI production
Architecture decisions
Ownership mindset
Mentoring
Startup experience
Founding team collaboration

Job description

Lead AI Engineer | AI-Native Startup | Berlin
Location: Berlin - On-site
Employment: Full-time
Package: Competitive salary + Equity

AI Futures has been exclusively retained to identify a Lead AI Engineer for a well-funded, early-stage AI startup in Berlin.

We're looking for a genuine 0→1 builder – someone who has built production AI products, thrives in early-stage environments and wants significant ownership over what gets built and how.

You'll work directly with the founding team, taking ownership of the core AI architecture while remaining deeply hands-on with the product.

The Role
  • Build and scale production LLM and Agentic AI systems.
  • Own key AI architecture and technical decisions.
  • Design sophisticated agent workflows, orchestration and tool use.
  • Build systems around evaluation, reliability and AI performance.
  • Solve problems around model quality, latency and cost.
  • Rapidly test new approaches and iterate based on real-world feedback.
  • Work directly with founders on product and technical strategy.
  • Establish engineering standards as the company scales.
  • Mentor engineers and help shape the future technical team.
What We're Looking For
  • Strong AI Engineering / Software Engineering background.
  • Experience shipping LLM, GenAI or Agentic AI products into production.
  • Strong software engineering and architecture fundamentals.
  • Genuine 0→1 product-building experience.
  • Comfortable making architectural decisions without an established playbook.
  • Product-minded and commercially aware – focused on what customers actually need.
  • High ownership and comfortable operating with ambiguity.
  • Experience leading or mentoring other engineers is highly desirable.
  • Founding Engineer / early technical hire experience is particularly attractive.
  • Previous pre-seed, seed or Series A startup experience strongly preferred.
  • Based in Berlin or willing to relocate and work predominantly on-site.
Why Join?
  • Take ownership of the core AI technology at an early-stage startup.
  • Work directly with the founders.
  • Build the product 0→1, rather than inherit an established platform.
  • Significant influence over architecture, product and technical direction.
  • Stay deeply hands-on while developing broader technical leadership.
  • Help build the future engineering organisation.
  • Meaningful equity and long-term upside.

We're particularly interested in engineers who have already experienced the pace, ambiguity and ownership of an early-stage startup and want an even bigger role in building the next one.

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