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Measured

The only media optimization platform powered by incrementality intelligence

Principal Engineer, AI

Full-stack EngineerSoftware EngineerOtherRemoteLeadTeam 51-200Since 2017H1B SponsorCompany SiteLinkedIn

Location

Texas

Posted

121 days ago

Salary

0

Seniority

Lead

Job Description

Principal Engineer, AI

Measured

• Drive the technical roadmap for AI/ML systems, aligning model development and deployment initiatives with key business outcomes. • Establish and champion scalable AI delivery practices (evaluation, deployment, monitoring, governance) and production-grade architecture patterns and engineering standards. • Identify and address strategic technical debt and performance bottlenecks within the core AI/ML platform and inference services. • Lead the adoption of emerging AI research, foundational models, and deep learning frameworks that future-proof our platform's intelligence capabilities. • Build agentic workflows that can query metrics, run analyses, and cite supporting data • Implement RAG patterns over internal schemas/data • Establish an evaluation and guardrails framework: monitoring for drift/hallucinations, along with PII handling, tenant isolation, policy controls, and audit logging. • Oversee production pipelines for AI services and ML workflows, including deployment, monitoring, and governance. • Lead the development and evolution of scalable tools for prompt/agent versioning, experimentation, evaluation, release management, and monitoring. • Ensure robust data validation, model testing practices, continuous integration/continuous delivery (CI/CD) for ML models, and automated deployment of AI services are in place. • Promote engineering best practices for building explainable, ethical, and bias-aware AI systems through agile methodologies and continuous improvement. • Build, mentor, and grow high-performing AI Engineering, Data Science, and AI Research teams and technical leaders. • Partner with executive leadership to define and execute technical strategies for integrating AI across product lines and departments. • Foster a culture of rigorous scientific experimentation, accountability in model performance, and cross-functional collaboration between research, data, and engineering. • Serve as a senior technical advisor on complex AI/ML architectural decisions, providing guidance on model selection and influencing data product direction. • Whatever else it takes to get the job done!

Job Requirements

  • 10+ years of software engineering experience with a focus on modern technologies.
  • 5+ years operating at a senior or principal engineering level, with demonstrated impact scaling teams, systems, and platforms.
  • Strong experience building and operating production AI/ML systems, including model deployment and monitoring, and optimizing scalable, high-performance AI infrastructure.
  • Hands-on experience building LLM-powered applications (e.g., OpenAI/Anthropic), including prompt/tool design, function calling, and RAG with vector databases
  • Strong evaluation and production engineering background: LLM eval frameworks/experimentation, backend & distributed systems fundamentals, and strong SQL/warehouse fluency (Snowflake/Redshift/BigQuery)
  • Strong background in component-based architecture, design systems, and performance.
  • Technical proficiency in CI/CD, automated testing, Git workflows, and build systems.
  • Familiarity with cloud platforms (AWS, GCP, or Azure), RESTful APIs, and GraphQL.
  • Exceptional communication, decision-making, and problem-solving skills.
  • A demonstrated ability to drive organizational change and technical innovation at scale.

Benefits

  • 100% Remote
  • Total Rewards - Compelling compensation packages that include flexible time off, regional paid holidays, and regional health and wellness plans where available
  • Social Engagement - virtual engagement, knowledge sharing, and more
  • Giving Back - Opportunities to volunteer and impact our communities through Measured for Good initiatives
  • Culture - Integrity, diversity, and award winning technology

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