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Red Hat logo
Red Hat

The leading provider of enterprise open source solutions.

Senior Software Engineer – AI Eval, Safety

Full-stack EngineerSoftware EngineerOtherRemoteSeniorTeam 10,001+Since 1993H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

166 days ago

Salary

$133.7K - $220.7K / year

Seniority

Senior

Bachelor Degree5 yrs expEnglishDistributed SystemsKubernetesOpenShiftPython

Job Description

Senior Software Engineer – AI Eval, Safety

Red Hat

• Lead the architecture and implementation of MLOps/LLMOps systems within OpenShift AI, establishing best practices for scalability, reliability, and maintainability while actively contributing to relevant open source communities • Design and develop robust, production-grade features focused on AI trustworthiness, including model monitoring, bias detection, and explainability frameworks that integrate seamlessly with OpenShift AI • Drive technical decision-making around system architecture, technology selection, and implementation strategies for key MLOps components, with a focus on open source technologies like KServe and TrustyAI • Define and implement technical standards for model deployment, monitoring, and validation pipelines, while mentoring team members on MLOps best practices and engineering excellence • Collaborate with product management to translate customer requirements into technical specifications, architect solutions that address scalability and performance challenges, and provide technical leadership in customer-facing discussions • Lead code reviews, architectural reviews, and technical documentation efforts to ensure high code quality and maintainable systems across distributed engineering teams • Identify and resolve complex technical challenges in production environments, particularly around model serving, scaling, and reliability in enterprise Kubernetes deployments • Partner with cross-functional teams to establish technical roadmaps, evaluate build-vs-buy decisions, and ensure alignment between engineering capabilities and product vision • Provide technical mentorship to team members, including code review feedback, architecture guidance, and career development support while fostering a culture of engineering excellence • Responsible for the safe, auditable, and reliable release of Kubernetes-native AI platform components, with strong emphasis on progressive delivery, operational resilience, and supply-chain integrity.

Job Requirements

  • 5+ years of software engineering experience, with at least 4 years focusing on ML/AI systems in production environments
  • Strong expertise in Python, with demonstrated experience building and deploying production ML systems
  • Deep understanding of Kubernetes and container orchestration, particularly in ML workload contexts
  • Extensive experience with MLOps tools and frameworks (e.g., KServe, Kubeflow, MLflow, or similar)
  • Track record of technical leadership in open source projects, including significant contributions and community engagement
  • Proven experience architecting and implementing large-scale distributed systems
  • Strong background in software engineering best practices, including CI/CD, testing, and monitoring
  • Experience mentoring engineers and driving technical decisions in a team environment

Benefits

  • Comprehensive medical, dental, and vision coverage
  • Flexible Spending Account - healthcare and dependent care
  • Health Savings Account - high deductible medical plan
  • Retirement 401(k) with employer match
  • Paid time off and holidays
  • Paid parental leave plans for all new parents
  • Leave benefits including disability, paid family medical leave, and paid military leave
  • Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!

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