AI Data Engineer

🕒 Abril 6

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MLabs

SiteLinkedInTodas as Vagas

51 - 200 funcionários

A MLabs Consulting ajuda a configurar especificações de projetos, implementar, gerenciar e manter projetos técnicos para IA, Fintech, Tecnologia da Informação e mais. Somos especializados em programação funcional, compiladores, IA, DevOps e desenvolvimento full-stack.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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.