Responsibilities
- Design a modular, event-driven multi-agent framework where agents have well-defined scopes, shared memory, and coordinated execution - not a monolithic "AI layer" pasted onto a backend.
- 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: agents that learn from trade outcomes, pricing performance, and fulfillment results to continuously update their decision logic - blending reinforcement signals with structured fine-tuning where appropriate.
- Build the observability and evaluation infrastructure that makes agent behavior auditable, debuggable, and improvable.
- Ensure the architecture is model-agnostic - the system must not be structurally dependent on any single foundation model provider.
- Architect algorithmic working capital allocation - real-time credit limit management, dynamic exposure modeling, and automated financing triggers embedded directly into trade execution.
- Design AI-driven credit risk assessment that processes counterparty signals, transaction history, and market conditions continuously, not in batch.
- Integrate liquidity and margin optimization in trade decisions, not as a downstream financial process.
- Build compliance and auditability infrastructure that meets the regulatory requirements of financial products operating across multiple jurisdictions.
- Scale a high-performance engineering organization that ships with discipline and speed.
- Develop a senior technical leadership layer, with strong talents who own architectural domains, not just sprint tickets.
- Structure governance frameworks for outsourced engineering - quality gates, integration standards, code review requirements, and security baselines that don't create a two-tier codebase.
- Introduce clear ownership models: every system has an owner; every incident has an accountable team; every architectural decision has a record.
- Build an engineering culture that treats production reliability, evaluation rigor, and system observability as professional norms, not occasional projects.
- Hire selectively and precisely - a small number of high-leverage additions over broad headcount growth.
- Communicate the technical roadmap clearly at leadership and board level, including honest trade-off framing and risk visibility.
Requirements
- 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 - not prototype or research contexts.
- 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 - where model behavior has financial or operational consequences.
- Track record of scaling engineering teams from 10 to 30+ people, including developing internal technical leadership.
- Experience designing and governing hybrid engineering models with external delivery partners.
Nice to Have
- Familiarity with fintech infrastructure - credit systems, payment flows, or embedded finance is a meaningful advantage.
Benefits
- Fulfil a role with entrepreneurial freedom and take a pre-validated business model to the next level
- Join an experienced founding team of serial and 2nd-time founders
- Attractive base and bonus compensation program
- Collaborate with top-tier investors and angels (incl. various unicorn founders) as well as leading market experts
Work Arrangement
On-site — Berlin
Team
Team size: 80. Structure: Team of 80+ FTEs across Europe (Berlin HQ), China, and India
Additional Information
- Position is based in Berlin
- Our Commitment to Diversity and Inclusion: A11 is committed to diverse and equal opportunities hiring for all – applicants, candidates, and employees alike. We value humans – with all our glorious multifaceted backgrounds, perspectives, and experiences – and look forward to your application.
