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Chief Technology Officer

PProject A
Seniority
Midweight
Model
In-Office
Sector
VC / Investor
Salary
Undisclosed
Contract
Full-Time

As Chief Technology Officer, you will own the evolution of the company's agentic AI architecture, AI-native fintech integration, and engineering leadership at Andercore, a next-generation supply chain platform redefining how global trade sources, distributes, and finances materials.

What you'll do

  • Design a modular, event-driven multi-agent framework where agents have well-defined scopes, shared memory, and coordinated execution.
  • Move beyond prompt-chained LLM workflows toward tool-augmented, stateful agents that reason over real-time market data, inventory positions, credit exposure, and logistics constraints simultaneously.
  • Architect feedback loops where agents learn from trade outcomes, pricing performance, and fulfillment results to continuously update their decision logic.
  • Build the observability and evaluation infrastructure that makes agent behavior auditable, debuggable, and improvable.
  • Architect algorithmic working capital allocation with real-time credit limit management, dynamic exposure modeling, and automated financing triggers.
  • Design AI-driven credit risk assessment that processes counterparty signals, transaction history, and market conditions continuously.
  • Scale a high-performance engineering organization that ships with discipline and speed.
  • Develop a senior technical leadership layer and structure governance frameworks for outsourced engineering.

What you'll need

  • 10+ years of engineering experience, with at least 5 in senior technical leadership at scale-ups or high-growth companies.
  • Demonstrated experience building and operating multi-agent AI systems in production.
  • Deep backend and distributed systems expertise: event streaming, microservices, API design, database scaling, observability stacks.
  • Experience operating AI systems in regulated or high-stakes commercial environments.
  • Track record of scaling engineering teams from 10 to 30+ people, including developing internal technical leadership.
  • Strong intuitions about LLM selection, fine-tuning, and evaluation.
  • Hands-on familiarity with agentic frameworks and their production failure modes.
  • Understanding of AI system reliability including rate limits, fallback strategies, and cost modeling.

What they offer

  • Entrepreneurial freedom to take a pre-validated business model to the next level
  • Experienced founding team of serial and 2nd-time founders
  • Attractive base and bonus compensation program
  • Collaboration with top-tier investors and unicorn founders
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ABOUT PROJECT A

VC / Investor · VC Fund stage

100+ employees

7 more open roles at Project A

This role is English-speaking. No German required.

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