Senior AI Engineer

🕒 August 14

🤠 Texas – Remote

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⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 12%

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Logo of Osano

Osano

11 - 50 employees

Founded 2018

📋 Compliance

☁️ SaaS

🤝 B2B

💰 $11M Series A on 2021-09

Compliance • SaaS • B2B

Osano is a comprehensive data privacy management platform designed to help organizations comply with data privacy laws across more than 50 countries, including GDPR, CCPA, and CPRA. It offers a range of solutions such as cookie consent management, data subject rights automation, privacy assessments, and vendor privacy risk management. By simplifying and automating these compliance tasks, Osano helps businesses increase consumer trust, manage data privacy efficiently, and reduce the risk of non-compliance penalties. Osano is committed to transparency and offers resources such as expert insights, regulatory guidance, and privacy program management tools to support businesses in navigating the complexities of data privacy regulations.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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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