Senior AI Engineer

Vaga não está no LinkedIn

🕒 Abril 20

🗽 New York, Washington – Remoto

🗽 New York – Remote ☕ Washington – Remote

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

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Blue Orange Digital

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2015

🤖 Inteligência Artificial

🤝 B2B

🏢 Corporativo

💰 $700.000 Corporate round em 2022-05

Artificial Intelligence • B2B • Enterprise

Blue Orange Digital é uma empresa de consultoria em dados e IA que ajuda empresas a transformar dados complexos em resultados reais de negócios. Ela faz parcerias com organizações de diversos setores para projetar e implementar infraestrutura de dados escalável, analisando de forma avançada, e soluções potentes impulsionadas por IA, e opera como uma equipe totalmente remota e distribuída globalmente, focada em construir sistemas práticos e prontos para produção.

Descrição

• Build production-grade agentic systems on Databricks and other lakehouse platforms, including orchestration frameworks, task runners, and monitoring layers • Implement RAG pipelines, vector stores, and retrieval architectures that hold up under real-world load • Stand up evals, observability, and guardrails for client-deployed AI systems • Design and integrate MCP servers and tool-calling layers between LLMs and client systems • Lead the AI engineering workstream on a client pod, partnering with the Architect on platform decisions and the Consultant on roadmap • Coach client engineering teams on production AI patterns, including prompt management, model routing, and FinOps • Contribute to BOD’s internal Edge product suite, including reference architectures and the Blueprint scan engine

🎯 Requisitos

• 5+ years building production data and ML systems in Python; 2+ years specifically on LLM-based or agentic systems • Hands-on experience with at least one major LLM orchestration framework (LangChain, LangGraph, Langflow, Databricks Agent Framework, or equivalent) • Production experience with Databricks (Unity Catalog, Delta Live Tables, MLflow) or comparable lakehouse platforms such as Snowflake with dbt • Deep knowledge of RAG architectures, vector databases, and embedding pipelines • Proven track record taking AI systems from prototype to production, including evals, monitoring, and on-call ownership • Comfortable working directly with client engineering teams as a peer and a coach • Preferred qualifications: Databricks, AWS, or Azure certifications • Experience with MCP, tool-calling protocols, or agentic protocol design • Background in security-aware AI engineering (prompt injection, data leakage, access control) • Multimodal AI experience across text, document, and image • FinOps experience optimizing model and compute spend

🏖️ Benefícios

• Competitive compensation with performance bonuses • Work on diverse, challenging projects across industries • Direct access to cutting-edge tech stacks (Databricks, AWS, GCP, Azure) • Builder culture where engineers lead and ship • Professional development budget and certification support • Flexible remote work environment • Collaborative team that values production-grade craftsmanship