AI Data Engineer

Senior AI Data Engineer (Agentic Systems)

Location: USA / Europe / Israel – with a 5 hour overlap with EST hours

Compensation: $130K - $150K

We are hiring on behalf of a client that builds the technology powering safer, more accessible financial markets. Their risk management systems, oracles, and AI models secure over $200B in assets across the largest decentralized protocols, processing more than $5T in transaction volume. They recently launched a pioneering Financial Intelligence Platform that turns complex market data into actionable insights.

Role

Senior AI Data Engineer tasked with designing and building the agentic systems for this platform. The role sits at the intersection of large language models, financial data, and production infrastructure, creating intelligent agents that reason, plan, and execute complex financial workflows.

Responsibilities

• Design and build single and multi‑agent systems incorporating planning, memory, and tool use
• Build and operate Model Context Protocol (MCP) servers with secure schemas and permissions
• Develop sophisticated agentic workflows using LangGraph or equivalent frameworks
• Integrate LLMs: manage prompts, structured outputs, and tool calling via SDKs
• Define and run LLM evaluation pipelines for quality, accuracy, latency, cost, and regressions
• Build observability infrastructure, including logging, tracing, retries, and state management
• Optimize performance and cost‑efficiency from prototype to production
• Mentor junior engineers and establish agentic best practices

Requirements

• 5+ years of software engineering experience, with at least 2+ years building production‑level AI/ML systems
• Hands‑on experience with agentic architectures, tool calling, and LangGraph (or equivalent)
• Practical experience with Model Context Protocol (MCP) servers
• Demonstrated experience designing and operating LLM evaluation pipelines
• Strong Python proficiency and API design skills
• Familiarity with RAG pipelines, vector databases, and embedding‑based retrieval

Preferred Qualifications

• Experience with financial data, DeFi/Crypto, or quantitative analysis
• Background in distributed systems or high‑throughput data pipelines
• Active contributions to open‑source AI/ML projects

Benefits

• Competitive compensation and equity package aligned with growth and performance
• Opportunity to be a foundational member of a rapidly expanding, global technology company with significant room for career advancement
• High‑stakes impact working on systems that secure hundreds of billions of dollars and shape future financial risk management
• Talent‑dense team of world‑class data scientists and engineers in a high‑performance culture

Commitment to Equality and Accessibility

At MLabs, we are committed to offering equal opportunities to all candidates. We conduct hiring without discrimination, ensure accessible job adverts, and provide information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need reasonable adjustments during any part of the hiring process or would like the job advert in an accessible format, please let us know.