Senior Software Engineer, AI

Sygnum is a global digital asset banking group, founded on Swiss and Singapore heritage. We empower professional and institutional investors, banks, corporates and DLT foundations to invest in digital assets with complete trust. Our team enables this through our institutional-grade security, expert personal service and portfolio of regulated digital asset banking, asset management, tokenization and B2B services.

In Switzerland, Sygnum holds a banking licence and has CMS and Major Payment Institution Licences in Singapore. The group is also regulated in the established global financial hubs of Abu Dhabi and Luxembourg.

We believe that the future has heritage. Our crypto-native team of banking, investment and digital asset technology professionals are building a trusted gateway between the traditional and digital asset economies that we call Future Finance. To learn more about how Sygnum’s mission and values are shaping this digital asset ecosystem, please visit  and follow us on Linked In and X.

A key pillar of our success are the Sygnum values that define and unite us a team. We proudly call them our SYGN values:

• S stands for the importance we hold in Seeking and seizing opportunities, and the way we take personal ownership for delivering results for our clients;
• Y represents the way we say Yes to maintaining the highest level of integrity and fairness in everything we do. Sygnumers always display confidence without attitude;
• G reminds us to always Grow and win together. We only succeed by supporting each other and challenging ourselves, and our team-mates, to reach for new heights;
• N is here for Nose for value because we are always looking to focus on what matters most to our clients, partners and team.

Sygnum has one of the most diverse teams in the industry. Diversity plays a central role in keeping our work culture open, our teams productive and energised, and our solutions at the forefront of the industry. In the spirit of our SYGN value to “grow and win together”, we fully embrace an equal opportunity mindset in the way we onboard, develop and promote our team members.

You will join our engineering team within the Client Lifecycle & Banking Value Stream, working closely with the AI & Data Analytics team to build the Sygnum AI Hub - our internal platform that brings agentic AI capabilities to every corner of the bank. Your work will span designing, building, and deploying AI-powered agents that transform how Sygnum operates across Client Lifecycle Management, Back-office operations, Productivity tooling, and Run-the-bank processes.

As a senior software engineer, you will play a key role in building on top of foundational models (OpenAI, Anthropic Claude) using Type Script, turning cutting-edge AI into production-grade solutions that are secure, reliable, and compliant with banking standards. A core part of your work will involve leveraging the Model Context Protocol (MCP) to connect AI agents with internal systems, APIs, and data sources - enabling agents to act on real banking workflows, not just generate text.

You will shape how AI is adopted across the organization - not as a proof of concept, but as core infrastructure.

• You are excited about building production AI systems in a regulated environment - not just prototyping, but shipping and operating. You understand what it takes to move an LLM-based application from proof-of-concept to a governed, compliant product — handling sensitive data, access controls, audit trails, and the operational discipline expected in regulated industries.
• You have strong expertise in languages like Java, Type Script and Phyton, with hands-on experience building applications on top of LLM APIs (OpenAI, Anthropic Claude, or similar).
• You understand agent design patterns - ReAct, routing agents, planning agents, multi-agent orchestration – as well as the Model Context Protocol (MCP) and can choose the right architecture for the problem rather than defaulting to a framework.
• You have hands‑on experience designing and operating RAG pipelines end-to-end — chunking, embeddings, vector stores (e.g., pgvector, Open Search, Azure AI Search), hybrid…