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Architecture of modular, event-driven multi-agent frameworks and AI-native fintech integration for material procurement. Experience operating multi-agent systems in regulated environments required. Entrepreneurial freedom with access to top-tier investors.
Requirements
- 10+ years of engineering experience
- Senior technical leadership in scale-ups
- Experience operating multi-agent AI systems
- Backend and distributed systems expertise
- Operating AI in regulated environments
- Experience scaling engineering teams
- Familiarity with fintech infrastructure
- Designing hybrid engineering models
- Intuition for LLM selection and evaluation
- Familiarity with agentic frameworks
- Fluency in streaming data architecture
- Understanding of AI system reliability
Tasks
- Lead the company’s agentic AI architecture
- Drive AI-native fintech integration
- Provide overall engineering leadership
- Design a modular, event-driven multi-agent framework
- Develop tool-augmented, stateful agents for real-time reasoning
- Architect feedback loops for continuous decision logic updates
- Build observability and evaluation infrastructure for agent behavior
- Ensure a model-agnostic system architecture
- Architect algorithmic working capital allocation
- Design AI-driven, continuous credit risk assessment
- Integrate liquidity and margin optimization into trade decisions
- Build multi-jurisdictional compliance and auditability infrastructure
- Scale a high-performance engineering organization
- Develop a senior technical leadership layer
- Structure governance frameworks for outsourced engineering
- Introduce clear system ownership and accountability models
- Foster a culture of reliability and observability
- Hire high-leverage technical talent selectively
- Communicate technical roadmaps and risks to the board
Work Experience
- 10 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AI
- event streaming
- microservices
- API design
- database scaling
- observability stacks
- fintech infrastructure
- LLM
- LangGraph
- streaming data
- real-time inference
- feature engineering
- ML systems
Benefits
Competitive Pay
- Attractive base compensation
Bonuses & Incentives
- Bonus compensation program
Informal Culture
- Entrepreneurial freedom
Startup Environment
- Experienced founding team
- Access to top-tier investors
Mentorship & Coaching
- Access to market experts
Not a perfect match?
- CoreTylyntFull-timeOn-siteSeniorBerlin
- Journee Technologies GmbH
VP of Technology(m/w/x)
Full-timeOn-siteManagementBerlin - CoreTylynt
Vice President of Engineering(m/w/x)
Full-timeOn-siteSeniorBerlin - A11
Backend Engineer (AI Agents/Workflows)(m/w/x)
Full-timeOn-siteExperiencedBerlin - Capco
AI Architect(m/w/x)
Full-timeOn-siteExperiencedBerlin, Frankfurt am Main
Architecture of modular, event-driven multi-agent frameworks and AI-native fintech integration for material procurement. Experience operating multi-agent systems in regulated environments required. Entrepreneurial freedom with access to top-tier investors.
Requirements
- 10+ years of engineering experience
- Senior technical leadership in scale-ups
- Experience operating multi-agent AI systems
- Backend and distributed systems expertise
- Operating AI in regulated environments
- Experience scaling engineering teams
- Familiarity with fintech infrastructure
- Designing hybrid engineering models
- Intuition for LLM selection and evaluation
- Familiarity with agentic frameworks
- Fluency in streaming data architecture
- Understanding of AI system reliability
Tasks
- Lead the company’s agentic AI architecture
- Drive AI-native fintech integration
- Provide overall engineering leadership
- Design a modular, event-driven multi-agent framework
- Develop tool-augmented, stateful agents for real-time reasoning
- Architect feedback loops for continuous decision logic updates
- Build observability and evaluation infrastructure for agent behavior
- Ensure a model-agnostic system architecture
- Architect algorithmic working capital allocation
- Design AI-driven, continuous credit risk assessment
- Integrate liquidity and margin optimization into trade decisions
- Build multi-jurisdictional compliance and auditability infrastructure
- Scale a high-performance engineering organization
- Develop a senior technical leadership layer
- Structure governance frameworks for outsourced engineering
- Introduce clear system ownership and accountability models
- Foster a culture of reliability and observability
- Hire high-leverage technical talent selectively
- Communicate technical roadmaps and risks to the board
Work Experience
- 10 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AI
- event streaming
- microservices
- API design
- database scaling
- observability stacks
- fintech infrastructure
- LLM
- LangGraph
- streaming data
- real-time inference
- feature engineering
- ML systems
Benefits
Competitive Pay
- Attractive base compensation
Bonuses & Incentives
- Bonus compensation program
Informal Culture
- Entrepreneurial freedom
Startup Environment
- Experienced founding team
- Access to top-tier investors
Mentorship & Coaching
- Access to market experts
About the Company
A11
Industry
Logistics
Description
Das Unternehmen A11 ist ein Wachstumstreiber für Tech-Unicorns in Europa und bietet Expertise in Business Performance.
Not a perfect match?
- CoreTylynt
Chief Technology Officer(m/w/x)
Full-timeOn-siteSeniorBerlin - Journee Technologies GmbH
VP of Technology(m/w/x)
Full-timeOn-siteManagementBerlin - CoreTylynt
Vice President of Engineering(m/w/x)
Full-timeOn-siteSeniorBerlin - A11
Backend Engineer (AI Agents/Workflows)(m/w/x)
Full-timeOn-siteExperiencedBerlin - Capco
AI Architect(m/w/x)
Full-timeOn-siteExperiencedBerlin, Frankfurt am Main