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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer, Agentic AI and Observability - **Company:** NVIDIA Corporation - **Location:** Santa Clara, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $168,000.0 - $270,250.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software Applications, Business Software, Cloud Computing, Continuous Integration, Software Debugging, DevOps, Distributed Systems, Python (Programming Language), Open Source Technology, Prometheus, Software Engineering, Datadog, Data Logging, Pulumi, Delivery Pipeline, Large Language Models, Grafana, AI Platforms, Kubernetes, Information Technology, Virtual Agents, Terraform, Docker - **Published:** September 9, 2026 - **Apply:** https://www.jofdav.com/jobs/59629167-senior-software-engineer-agentic-ai-and-observability ## About the Role * BS or MS in Computer Science, Software Engineering, or a related field (or equivalent experience). * 8+ years of experience and strong software engineering skills in Python and experience with modern CI/CD practices. * Hands-on experience with container orchestration (Kubernetes, Docker) and cloud infrastructure. * Experience with observability and monitoring platforms such as Datadog, OpenTelemetry, Grafana, or Prometheus. * SRE / DevOps approach - taking ownership of production systems, automating toil, and building for reliability. * Excellent problem-solving skills and a proven track record of debugging complex distributed systems. Ways to stand out from the crowd: * Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and agentic AI build patterns. * Experience operating ML/AI systems in production environments. * Familiarity with AI-specific observability challenges - latency profiling for inference, token economics, timely response quality monitoring. * Contributions to open-source observability or AI tooling projects. * Experience with infrastructure-as-code (Terraform, Pulumi) and GitOps or equivalent experience workflows. ## Description Ready to develop the future of AI at NVIDIA? Join our BizApps SRE team to advance the Agentic AI Factory model, a critical initiative aimed at fast development, deployment, and operation of AI-powered applications across the enterprise. As a Software Engineer, you will be positioned at the intersection of agentic AI and Business applications. You will guarantee that our AI agents and automation workflows perform reliably, efficiently, and at scale. This opportunity lets you craft tooling and instrumentation that enable BizApps teams to release AI-powered products faster. What you'll be doing: * Build and implement observability solutions for agentic AI applications in production, including metrics, tracing, logging, and alerting. * Develop and sustain deployment pipelines and reliability tools for the Agentic AI Factory model. * Partner with AI application teams to define SLOs/SLIs and ensure production readiness for new agent deployments. * Instrument LLM-based workflows for performance, cost, and quality monitoring, covering multi-step reasoning chains, token usage, and tool orchestration. * Drive incident response, root cause analysis, and reliability improvements for BizApps AI services. * Identify and close observability gaps outstanding to agentic AI systems, such as hallucination detection and orchestration failure tracing. * Work jointly with platform, data, and application engineering groups to integrate reliability throughout the development lifecycle. ## Related Videos - [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better) - [Why segmenting your infrastructure into tiers makes your infrastructure design better](https://www.wearedevelopers.com/videos/1960-why-segmenting-your-infrastructure-into-tiers-makes-your-infrastructure-design-better) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Agentic AI: building autonomous systems for developers](https://www.wearedevelopers.com/videos/100034-agentic-ai-building-autonomous-systems-for-developers) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Unleashing Potential Across Teams: The Power of Infrastructure as Code](https://www.wearedevelopers.com/videos/930-unleashing-potential-across-teams-the-power-of-infrastructure-as-code) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [ I Gave a Video Editor More Autonomy Than a Trading Bot. On Purpose.](https://www.wearedevelopers.com/magazine/773-i-gave-a-video-editor-more-autonomy-than-a-trading-bot-on-purpose) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)