Senior Software Engineer – AI Eval & Safety

10 hours ago

🍂 Massachusetts – Remote

Although this job is listed in Massachusetts, this company may be open to hiring remote in other states.

💵 $133.7k - $220.7k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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Red Hat

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Enterprise • Cloud

Red Hat is a leading provider of enterprise open source software solutions, helping companies worldwide to build and deploy applications across hybrid cloud infrastructures. With a strong focus on developing secure, stable, and innovative technologies, Red Hat offers a broad portfolio including products like Red Hat Enterprise Linux, Red Hat OpenShift, and Red Hat Ansible Automation Platform. These products support IT services on any infrastructure efficiently. Trusted by more than 90% of the U. S. Fortune 500, Red Hat empowers organizations to modernize their IT environments, leveraging open source communities to drive technological advancement.

10,000+ employees

Founded 1993

🏢 Enterprise

💰 Corporate Round on 1999-03

📋 Description

• 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

🎯 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!