Engineering Lead – Digital Assets, AI
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Job Description
Engineering Lead coordinating engineering excellence across Digital Assets and AI initiatives. Ensures architectural coherence and scalable delivery while shaping AI agents integration into blockchain-based systems.
Responsibilities:
- 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.
- Ensure consistent use of AI frameworks, orchestration layers, and integration patterns
- Set standards for designing and implementing Agentic AI systems
- Establish AI governance (traceability, explainability, compliance, monitoring)
- Validate smart contract and distributed system architecture decisions
- Ensure DevSecOps alignment in regulated environments
- Partner with Product and Delivery leads to ensure realistic engineering planning
- Identify technical risks early and drive mitigation strategies
- 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.
Requirements:
- Excellent communication skills in English
- Capability to communicate complex technical ideas clearly
- 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.
- Knowledge about Canton and EVM-based chains
- Knowledge of tokenization, custody, or digital asset lifecycle.
Benefits:
- International experience in a stable company: the company has offices in Antwerp, Lisbon, Krakow Kyiv, New York and operates on the market for over 15 years.
- Passionate team in an innovative casual, positive, and open work environment ready to meet your new ideas.
- Great opportunities for personal and professional development as well as the chance to change the way the business works in the financial world.
- Work where you're most productive: remote, in-office, or hybrid options available.
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