Senior Software Engineer AI Eval & Safety at Red Hat

About the JobDo you want to help shape the future of AI by building robust infrastructure and tools for developing trustworthy large language models and agentic workflows Were seeking a software engineer who combines strong systems engineering skills with a passion for AI safety to develop frameworks that ensure AI systems behave reliably and align with human values.The OpenShift AI team is looking for a Senior Software Engineer with Kubernetes and MLOps or LLMOps experience to join our rapidly growing engineering team. Our teams focus is to make machine learning model deployment and monitoring seamless scalable and trustworthy across the hybrid cloud and the edge. This is a very exciting opportunity to build and impact the next generation of hybrid cloud MLOps platforms.In this role youll be contributing as a technical infrastructure expert for responsible AI features of the open source Open Data Hub project by actively participating in KServe TrustyAI Kubeflow and several other open source communities. You will work as part of an evolving development team to rapidly design secure build test and release model serving trustworthy AI and model registry capabilities. The role is primarily an individual contributor who will be a key notable contributor to trustworthy AI and MLOps/LLMOps upstream communities and collaborate closely with the internal cross-functional development teams.This role can be based in the UK (Newcastle) Ireland (Dublin) or the United States (preferably East Coast). Candidates should reside within a reasonable distance of a Red Hat office in one of these locations.What You Will DoLead 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 communitiesDesign and develop robust production-grade features focused on AI trustworthiness including model monitoring bias detection and explainability frameworks that integrate seamlessly with OpenShift AIDrive 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 TrustyAIDefine and implement technical standards for model deployment monitoring and validation pipelines while mentoring team members on MLOps best practices and engineering excellenceCollaborate 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 discussionsLead code reviews architectural reviews and technical documentation efforts to ensure high code quality and maintainable systems across distributed engineering teamsIdentify and resolve complex technical challenges in production environments particularly around model serving scaling and reliability in enterprise Kubernetes deploymentsPartner with cross-functional teams to establish technical roadmaps evaluate build-vs-buy decisions and ensure alignment between engineering capabilities and product visionProvide technical mentorship to team members including code review feedback architecture guidance and career development support while fostering a culture of engineering excellenceWhat You Will Bring5 years of software engineering experience with at least 4 years focusing on ML/AI systems in production environmentsStrong expertise in Python with demonstrated experience building and deploying production ML systemsDeep understanding of Kubernetes and container orchestration particularly in ML workload contextsExtensive 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 engagementProven experience architecting and implementing large-scale distributed systemsStrong background in software engineering best practices including CI/CD testing and monitoringExperience mentoring engineers and driving technical decisions in a team environmentThe following is considered a plus:Experience with Red Hat OpenShift or similar enterprise Kubernetes platformsContributions to ML/AI open source projects particularly in the MLOps spaceBackground in implementing ML model monitoring explainability or bias detection systemsExperience with LLM operations and deployment at scalePublic speaking experience at technical conferencesAdvanced degree in Computer Science Machine Learning or related fieldExperience working with distributed engineering teams across multiple time zonesFamiliarity with AI governance and responsible AI practices#LI-EK1#AI-HIRINGThe salary range for this position is $133650.00 - $220680.00. Actual offer will be based on your qualifications.Pay TransparencyRed Hat determines compensation based on several factors including but not limited to job location experience applicable skills and training external market value and internal pay equity. Annual salary is one component of Red Hats compensation package. This position may also be eligible for bonus commission and/or equity. For positions with Remote-US locations the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.About Red HatRed Hat is the worlds leading provider of enterprise open source software solutions using a community-powered approach to deliver high-performing Linux cloud container and Kubernetes technologies. Spread across 40 countries our associates work flexibly across work environments from in-office to office-flex to fully remote depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas no matter their title or tenure. Were a leader in open source because of our open and inclusive environment. We hire creative passionate people ready to contribute their ideas help solve complex problems and make an impact.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!Note: These benefits are only applicable to full time permanent associates at Red Hat located in the United States.Inclusion at Red HatRed Hats culture is built on the open source principles of transparency collaboration and inclusion where the best ideas can come from anywhere and anyone. When this is realized it empowers people from different backgrounds perspectives and experiences to come together to share ideas challenge the status quo and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access and that all voices are not only heard but also celebrated. We hope you will join our celebration and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.Equal Opportunity Policy (EEO)Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race color religion sex sexual orientation gender identity national origin ancestry citizenship age veteran status genetic information physical or mental disability medical condition marital status or any other basis prohibited by law.Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for and will not pay any fees commissions or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application email . General inquiries such as those regarding the status of a job application will not receive a reply.Required Experience:Senior IC Key Skills Databases,Embedded Software,IDS,System Design,C/C++,Military Experience,Risk Analysis,Systems Engineering,Waterfall,Requirements Management,OSHA,EHS Employment Type : Full-Time Experience: years Vacancy: 1 Monthly Salary Salary: 133650 - 220680