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MLabs

AI Data Engineer

MLabs

. Agentic Systems: Design and build single and multi-agent systems incorporating planning, memory, and tool use.

Posted 4/6/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $130,000 - $150,000 per yearWebsite

Tech Stack

Tools & technologies
Distributed SystemsPython

About the role

Key responsibilities & impact
  • Agentic Systems: Design and build single and multi-agent systems incorporating planning, memory, and tool use.
  • Infrastructure: Build and operate MCP servers with secure schemas and permissions.
  • Workflows: Develop sophisticated agentic workflows using LangGraph or equivalent frameworks.
  • LLM Integration: Manage prompts, structured outputs, and tool calling via SDKs.
  • Evaluation: Define and run LLM evaluation pipelines for quality, correctness, latency, cost, and regressions.
  • Observability: Build reliability infrastructure, including logging, tracing, retries, and state management.
  • Performance: Optimize performance and cost-efficiency from prototype to production.
  • Mentorship: Establish agentic best practices and mentor junior engineers.

Requirements

What you’ll need
  • Experience: 5+ years of software engineering, with at least 2+ years specifically building production-level AI/ML systems.
  • Agentic Expertise: Hands-on experience with agentic architectures, tool calling, and LangGraph (or equivalent).
  • Protocol Knowledge: Practical experience with Model Context Protocol (MCP) servers.
  • Evaluation Skills: Demonstrated experience designing and operating LLM evaluation pipelines.
  • Technical Stack: Strong Python proficiency and API design skills.
  • Retrieval Systems: Familiarity with RAG pipelines, vector databases, and embedding-based retrieval.
  • **Preferred Qualifications:**
  • - Prior 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

Comp & perks
  • Competitive Compensation & Equity: They offer a package aligned with growth, performance, and merit.
  • Professional Growth: Be a foundational member of a rapidly expanding, global technology company with significant room for career advancement.
  • High-Stakes Impact: Work on systems that secure hundreds of billions of dollars and define the future of financial risk management.
  • Talent-Dense Team: Collaborate with world-class data scientists and engineers in a high-performance culture.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
PythonAPI designagentic architecturesLangGraphModel Context Protocol (MCP)LLM evaluation pipelinesRAG pipelinesvector databasesembedding-based retrievalperformance optimization
Soft Skills
mentorshipestablishing best practices