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This position was posted on April 6, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!

MLabs logo

AI Data Engineer

Job Overview

Location

United States

Job Type

Full-time

Category

Software Engineering

Date Posted

April 6, 2026

Full Job Description

đź“‹ Description

  • • Senior AI Data Engineer role focused on designing and building agentic systems that power a Financial Intelligence Platform securing over $200 billion in assets across decentralized protocols.
  • • Day-to-day responsibilities include designing single and multi-agent systems with planning, memory, and tool use; building and operating MCP servers; developing agentic workflows using LangGraph; managing LLM prompts, structured outputs, and tool calling; defining and running LLM evaluation pipelines; building observability infrastructure; optimizing performance and cost-efficiency; and mentoring junior engineers on agentic best practices.
  • • The company builds technology for safer, more accessible financial markets, with risk management systems, oracles, and AI models securing over $200 billion in assets and processing over $5 trillion in transaction volume; they recently launched a Financial Intelligence Platform transforming market data into actionable insights.
  • • The role offers the opportunity to work at the cutting edge of LLMs, financial data, and production infrastructure; to establish agentic best practices; to mentor junior engineers; and to contribute to systems that define the future of financial risk management with high-stakes impact.

Skills & Technologies

Python
Onsite
$130k-150k

Ready to Apply?

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About MLabs

MLabs is a technology company specializing in the development and implementation of advanced laboratory automation solutions. They focus on creating intelligent systems that streamline complex laboratory workflows, enhance data accuracy, and improve overall efficiency for research and development, quality control, and clinical diagnostics. Their offerings often include robotics, AI-driven software, and integrated hardware designed to automate tasks such as sample handling, analysis, and reporting. MLabs serves a diverse range of industries including pharmaceuticals, biotechnology, and healthcare, aiming to accelerate scientific discovery and improve patient outcomes through cutting-edge automation.

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