Developer

Target profile

You will love this job if:

• You are pioneering and innovative and want to be part of the cutting-edge and disruptive crypto-currency world
• You are excited about bringing AI agents out of demos and into real production systems
• You are eager to learn new knowledge in both financial and technical fields
• You thrive in a non-hierarchical organization with a casual working environment
• You are flexible and dedicated. We operate an on-call rota around the clock to ensure our global operations run smoothly

Team / Role

As a Developer, you will:

• Design, build and operate long-running agent services in production, including agent infrastructure, CI/CD and deployment
• Build agent loops and tool-calling integrations on frontier models such as Claude and GPT
• Design agent safety and permission controls, including prompt injection protection and account- and tool-level access control
• Build agent memory and knowledge systems using RAG, knowledge graphs and embeddings
• Own the agent evaluation pipeline, including tracing, observability (e.g. Langfuse) and regression testing of agent behaviour
• Engineer the agent harness: context management, long-session reliability and cost control

Required skillset

You should get in touch if:

• You have 3–5 years of software engineering experience, including hands-on work building LLM-based applications or agents
• You hold a university degree in Computer Science, Software Engineering or a related discipline
• You write clean, production-quality code in Python, TypeScript, Rust or similar, and are familiar with Linux environments
• You have shipped agentic systems using tool calling and multi-step agent loops, not only single-prompt applications
• You understand LLM security risks such as prompt injection and data exfiltration, and how to design permission boundaries against them
• You have experience with retrieval systems (vector databases, embeddings, RAG; graph-based retrieval is a plus)
• You have built or used evaluation and tracing tooling for LLM systems (e.g. Langfuse, LangSmith, OpenTelemetry)
• You own the reliability, scalability, cost efficiency and maintainability of what you deliver
• You show a strong interest in financial markets and blockchain technologies
• Experience with MCP, agent SDKs, or high-throughput system design is a plus