Engineering Lead – Digital Assets & Agentic AI

 Posted 3 months ago
  
 Poland
  
10+ years experience
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AI Summary

This role involves coordinating engineering excellence across Digital Assets and AI initiatives, focusing on evolving and standardizing the use of Agentic AI. The lead will orchestrate technical teams to ensure architectural coherence, engineering quality, and scalable delivery while establishing AI governance standards.

IntellectEU is an international technology company focused on digital finance and emerging technologies. At IntellectEU we are on a mission to become the top-of-mind fintech company.  We are committed to our people and believe in building a better future with the newest technologies. We give rising talent and industry veterans the space to explore, launch ideas, and collaborate closely with our clients. With our technical hands-on experience in payments, blockchain and capital markets, there’s no challenge that’s left unsolved. Over the past two decades, we have earned our expertise in financial technology, executing on hundreds of complex integrations and co-creating new digital asset platforms alongside our clients.  



We are seeking a highly driven Engineering Lead to coordinate engineering excellence across Digital Assets and AI initiatives, with a strong focus on evolving and standardizing our use of Agentic AI. This role ensures architectural coherence, engineering quality, and scalable delivery while shaping how AI agents are designed, governed, and integrated into blockchain-based and regulated systems.

The Engineering Lead will orchestrate a matrix of technical leads (Architecture, Backend, Frontend, DevOps, Security, AI/Data, QA) and elevate our engineering maturity to production-grade standards.


Responsibilities:

  • Align and coordinate technical leads across roles and ensure architectural consistency across projects
  • Define and enforce engineering standards and best practices, including for production-ready distributed systems
  • Define standards for designing and implementing Agentic AI systems
  • 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)
  • Ensure scalable and secure blockchain integrations
  • 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



Requirements

Must Have:

  • 8+ years in software engineering
  • 3–5+ years in senior technical leadership roles
  • Excellent communication skills in English
  • Capability to communicate complex technical ideas clearly
  • Experience with CI/CD automation, Infrastructure as Code, and cloud-native architectures (Azure, AWS, GCP).
  • Understanding of distributed systems and microservices
  • Experience with blockchain platforms (enterprise or public) 
  • Strong DevSecOps knowledge
  • 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.



Nice to Have:

  • Knowledge about Canton and EVM-based chains
  • Familiarity with secure transaction systems and regulated environments
  • Knowledge of tokenization, custody, or digital asset lifecycle
  • Knowledge about DeFi concepts.



We guarantee:

  • 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.





Location

Poland (Remote)


Employment Type

Employee


Minimum Experience

Manager/Supervisor


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