About the job
Join Our Team as a Senior AI Data Engineer
At mlabs, we are at the forefront of developing advanced technologies that ensure safer and more equitable financial markets. Our innovative risk management systems, oracles, and AI models currently safeguard over $200 billion in assets across the largest decentralized protocols globally, having processed in excess of $5 trillion in transaction volume. We are proud to have launched a groundbreaking Financial Intelligence Platform, which transforms complex market data into actionable insights, thereby providing institutional-grade intelligence to every participant in the ecosystem.
Your Role: We are seeking a seasoned Senior AI Data Engineer to spearhead the design and development of the agentic systems that power our intelligence platform. You will operate at the intersection of Large Language Models (LLMs), financial data, and production infrastructure, crafting intelligent agents capable of reasoning, planning, and executing across intricate financial workflows.
Key Responsibilities:
- Agentic Systems: Design and develop single and multi-agent systems that leverage planning, memory, and tool utilization.
- Infrastructure: Construct and maintain MCP servers with secure schemas and permissions.
- Workflows: Create advanced agentic workflows using LangGraph or similar frameworks.
- LLM Integration: Manage prompts, structured outputs, and tool invocation through SDKs.
- Evaluation: Establish and execute LLM evaluation pipelines focusing on quality, correctness, latency, cost, and regressions.
- Observability: Develop reliability infrastructure, encompassing logging, tracing, retries, and state management.
- Performance: Enhance performance and cost-efficiency from prototype to production.
- Mentorship: Set forth agentic best practices and guide junior engineers.
