Why This Job is Featured on The SaaS Jobs
Level AI sits in a current SaaS pattern: an enterprise platform using large language models to operationalise customer interaction data for contact centres. For SaaS infrastructure professionals, that combination matters because it blends classic multi-tenant reliability expectations with ML-heavy workloads that introduce new deployment, monitoring, and data pipeline considerations. The listing signals a product environment where production systems are closely tied to model training and inference, not treated as a separate research track.
From a career standpoint, the role builds durable SaaS infrastructure depth across containerised microservices, infrastructure as code, CI/CD, and observability. It also adds exposure to the operational side of AI-native SaaS, where release practices, dashboards, and incident response must account for model behaviour as well as service health. Experience in this intersection tends to transfer well across modern B2B SaaS companies adopting MLOps patterns.
This role suits an engineer who prefers hands-on ownership of reliability and deployment mechanics and who enjoys collaborating directly with an AI team to move work into production. It aligns well with someone early to mid-career who wants to broaden from standard DevOps into ML-aware operations while staying grounded in cloud fundamentals and measurable system performance.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Level AI (thelevel.ai) is an Enterprise SaaS startup. Our vision is to build AI tools that augment, not replace, humans. Our first market is in contact centres.
Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionises customer engagement by transforming contact centres into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organisations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry.
\n
Responsibilities:- Design, build, and develop/enhance state of art machine Learning system infrastructure (cloud and on-premise) core components and architect platforms to create, train and deploy ML models.
- Build operating dashboards and charts to track system errors, performance and enable root cause analysis.
- Identify gaps and evaluate relevant tools and technologies as needed to improve processes and systems, leveraging open-source and cloud computing technologies to build effective solutions.
- Collaborate with the AI team to drive ML projects from conception to completion and production monitoring.
Requirements:- Bachelor's or above with a good academic background.
- 2-4 years of meaningful work experience in DevOps handling complex services.
- Strong troubleshooting skills to keep our services highly available.
- Strong expertise and experience with Google Cloud Platform (GCP), Docker, Kubernetes, CI/CD, and Jenkins.
- Extensive experience in designing, implementing, and maintaining infrastructure as code, preferably using Terraform.
- Create and maintain deployment manifest files for microservices using HELM.
- Having LLMOps or MLOps experience is a bonus.
- Strong expertise is required with deployment at scale on a Kubernetes cluster via HPA.
- Broad technical background and experience with architecture, design, and operations of cloud solutions and how to meet security compliance requirements.
- Monitoring system health, ensuring security, scalability, and reliability.
- Design, implement, and maintain observability, monitoring, logging, and alerting using tools like Prometheus, Grafana, Promtail, Loki, and Datadog.
\n
Compensation : We offer market-leading compensation, based on the skills and aptitude of the candidate.
To learn more visit : https://thelevel.ai/
Funding : https://www.crunchbase.com/organization/level-ai
LinkedIn : https://www.linkedin.com/company/level-ai/
Our AI platform : https://www.youtube.com/watch?v=g06q2V_kb-s
