Senior AI Engineer

🕒 Agosto 14

🤠 Texas – Remoto

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⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 12%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Osano

11 - 50 funcionários

Fundada em 2018

📋 Conformidade

☁️ SaaS

🤝 B2B

💰 $11.000.000 Series A em 2021-09

Compliance • SaaS • B2B

A Osano é uma plataforma abrangente de gerenciamento de privacidade de dados, projetada para ajudar as organizações a cumprirem as leis de privacidade de dados em mais de 50 países, incluindo GDPR, CCPA e CPRA. Ela oferece uma gama de soluções, como gerenciamento de consentimento de cookies, automação de direitos de titulares de dados, avaliações de privacidade e gerenciamento de riscos de privacidade de fornecedores. Ao simplificar e automatizar essas tarefas de conformidade, a Osano ajuda as empresas a aumentar a confiança do consumidor, gerenciar a privacidade dos dados de forma eficiente e reduzir o risco de penalidades por não conformidade. A Osano está comprometida com a transparência e oferece recursos, como insights de especialistas, orientação regulatória e ferramentas de gerenciamento de programas de privacidade, para apoiar as empresas na navegação pelas complexidades das regulamentações de privacidade de dados.

Descrição

• Architect and deploy autonomous AI agents and multi-agent workflows • Design strict-source-following Retrieval-Augmented Generation (RAG) systems that minimize hallucination and enforce citation integrity • Implement guardrails, structured outputs, and validation layers • Build scalable backend services using FastAPI • Orchestrate agentic workflows using LangGraph • Deploy and manage AI workloads within AWS or Azure • Optimize model performance, reliability, and cost • Develop rigorous evaluation pipelines measuring accuracy, citation adherence, latency, and reliability • Establish metric-driven iteration cycles • Continuously refine deployed systems based on measurable outcomes • Embed privacy-by-design principles across the AI stack • Ensure compliance, data sovereignty, and secure handling practices • Collaborate cross-functionally to align AI capabilities with regulatory standards

🎯 Requisitos

• 5+ years of professional experience • Experience deploying and managing AI workloads in AWS or Azure • Deep technical understanding of LLM usage and orchestration beyond prompt engineering • Strong expertise in the Python AI ecosystem • Expertise with FastAPI • Expertise with LangGraph • Proven experience building complex RAG systems • Proven experience building autonomous AI agents • Experience building evaluation frameworks and iterating based on performance metrics • Curiosity, self-direction, and motivation to learn quickly • Comfort navigating ambiguity and creating clarity • Interest in privacy, responsible AI, and trustworthy technology • Nice-to-have: Experience with Knowledge Graphs to enhance RAG precision • Nice-to-have: Familiarity with Privacy-Enhancing Technologies (PETs) • Nice-to-have: Experience with data anonymization techniques • Nice-to-have: Background in compliance-heavy or regulated environments

🏖️ Benefícios

• Competitive-pay compensation and ownership interest/equity • Unlimited paid time off, plus a requirement to take at least two weeks off per year • Paid parental leave for all new parents • Medical, Dental, and Vision insurance via Aetna; individual premiums on base plans sponsored at 100% and dependent premiums at 50% • Fully and permanently remote work from anywhere in the U.S. • MacBook and $600 to craft your home workspace • Annual company trip designed to foster connection, creativity, and fun • Mental health benefits with free memberships to mindfulness and talk therapy services • Training program, well-defined career paths, and professional development support

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