Senior AI Software Engineer

🕒 5 days ago

🏄 California – Remote

🏄 California – Remote

💵 $155k - $190k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

NBCUniversal

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2004

📱 Media

Media • Entertainment

NBCUniversal is a leading global media and entertainment company known for creating and distributing content across a variety of platforms. With over 100 years of experience, it is a part of Comcast and encompasses brands like Peacock, NBC Sports, and many others to educate, entertain, and empower audiences around the world. The company is involved in television broadcasting, film production, and theme parks, and is also recognized for its initiatives in technology and corporate social responsibility. NBCUniversal is committed to innovation and social impact, making it a vibrant workplace for media and tech professionals.

📋 Description

• Collaborate across technology and production teams, including principal engineers, to shape Platform as a Service implementation best practices • Influence and contribute to Agentic Engineering and MCP Server Development efforts • Develop and adopt governance, security, and observability best practices for AI and agentic systems • Use Kubernetes orchestration and operators to automate stateless application deployments and administration across on-premises and cloud environments • Use enterprise-grade Kubernetes software to develop, deploy, and run AI workloads across development and production environments • Identify process and efficiency improvements within Platform Services and help oversee implementation • Facilitate continuous improvement • Monitor and maintain platform infrastructure using tools such as Datadog for performance tracking, alerts, and capacity management • Participate in cybersecurity vulnerability mitigation and compliance efforts • Define and document standard runbooks and operating procedures • Create and maintain system information and architecture diagrams • Develop and maintain microservices, tools, and automation • Provide software troubleshooting and break-fix support for production • Build, scale, and secure AI infrastructure for data workflows and management

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field • 8+ years of experience in Software, DevOps or Platform Engineering • 1+ years building AI systems for real workflows • Hands-on experience in cloud-native technologies and architectures, including Docker and Kubernetes • Proven experience developing and deploying AI agents, tool-calling systems, and multi-agent systems • Proficiency in revision control and DevOps best practices, including Git • Expert Linux experience, including Red Hat and CentOS • Proficiency with one or more Unix shell scripting languages, including Bash or C-Shell • Proficiency in Python, Java, or JavaScript development • Operational support experience, including platform infrastructure monitoring and troubleshooting using Datadog, Prometheus, or similar • Strong hands-on experience managing and troubleshooting production workloads running on Kubernetes • Hands-on experience developing or deploying custom application servers, Retrieval-Augmented Generation (RAG) models, and Model Context Protocols (MCP) servers • Deep understanding of LLM model integration and tuning • Experience monitoring and mitigating operational costs associated with token usage and GPU compute utilization • Deep expertise in at least one major cloud ecosystem: AWS, Azure, OCI, or GCP • Experience with infrastructure provisioning • Experience designing automation that reduces manual work in complex, multi-stakeholder environments • Excellent communication skills and ability to translate between artists, production management, and engineers • Genuine passion for animation, storytelling, or creative productions

🏖️ Benefits

• Medical, dental and vision insurance • 401(k) • Paid leave • Tuition reimbursement • Variety of other discounts and perks • Fully remote work arrangement