Engineering Lead (Digital Assets & AI)

IntellectEU is an international technology company focused on digital finance and emerging technologies. The company has offices in Antwerp, Lisbon, Krakow, Kyiv, and New York and has been operating for over 15 years. IntellectEU specializes in payments, blockchain, and capital markets, executing complex integrations and co-creating digital asset platforms with clients.

• Excellent communication skills in English
• 8+ years of experience in software engineering
• 3–5+ years of experience in senior technical leadership roles
• Strong experience with cloud-native architectures (Azure, AWS, GCP)
• Deep understanding of distributed systems and microservices
• Strong DevSecOps knowledge
• Experience designing scalable production systems
• Experience with blockchain platforms (enterprise or public)
• Understanding of smart contracts and distributed ledger concepts
• Familiarity with secure transaction systems and regulated environments
• Knowledge about DeFi concepts
• Experience integrating AI with external APIs, smart contracts, or transactional systems
• Experience with LLM architectures, agent-based and multi-agent systems, AI observability, governance, and MLOps/model lifecycle management
• Deep experience with CI/CD, automation, and Infrastructure as Code (IaC)
• Skilled in observability, monitoring, and system performance tools
• Strong knowledge of quality tooling and testing frameworks

Nice to Have:

• Knowledge about Canton and EVM-based chains
• Knowledge of tokenization, custody, or digital asset lifecycle

Engineering Coordination & Technical Governance:

• Align and coordinate technical leads across roles and ensure architectural consistency across projects
• Define and enforce engineering standards and own technological choices and selection of tooling for the practice

AI & Agentic AI Strategy and Standardization:

• Ensure consistent use of AI frameworks, orchestration layers, and integration patterns
• Set standards for designing and implementing Agentic AI systems
• Establish AI governance including traceability, explainability, compliance, and monitoring

Digital Assets Engineering Excellence:

• Ensure scalable and secure blockchain integrations
• Validate smart contract and distributed system architecture decisions
• Ensure DevSecOps alignment in regulated environments

Delivery & Technical Risk Management:

• Partner with Product and Delivery leads to ensure realistic engineering planning
• Identify technical risks early and drive mitigation strategies

Engineering Maturity & Continuous Improvement:

• Define and track engineering KPIs and promote automation and AI-assisted engineering productivity
• Develop structured improvement initiatives and foster a culture of technical excellence and ownership