AI is rapidly transforming the world. Whether it’s developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives.
Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production.
Arize PhoenixOur open source platform enables developers to build LLM-powered applications with safety and observability at their core. With hundreds of thousands of monthly downloads, Arize Phoenix serves everyone from Fortune 500 companies to cutting-edge startups. We're backed by TCV, Foundation Capital, Swift Ventures, and Battery Ventures.
The RoleAs a Staff Software Engineer on the Open Source team, you'll operate as a founding engineer for Phoenix – our startup within a startup. Working directly with the head of OSS, you'll build infrastructure that powers Arize Phoenix while contributing to full-stack development of user-facing applications.
This role demands versatility – you'll tackle the entire tech stack, you could be working in Kubernetes infrastructure one day and writing core Python primitives to run massively parallel LLM eval jobs the next. You're not just writing code but designing systems and products that will shape how organizations observe and evaluate AI.
This is NOT a role for everyone – it demands an exceptional level of drive and commitment. In return you can expect world class mentorship and opportunities to accelerate your career in the most important field in software today. You should be comfortable with:
- Taking ownership of complex problems from day one
- Putting in the extra effort to learn new technologies rapidly
- Pushing yourself outside your comfort zone regularly
- Thinking critically about system and product design rather than just following instructions
- Scaling the world class infrastructure powering Phoenix for a global developer community
- Shipping web applications and features from concept to production at startup speed
- Collaborating with the open-source community to evolve our platform
- 5+ years building scalable software systems
- Strong foundation in both infrastructure engineering and application development
- Experience with Kubernetes, cloud services, and container orchestration
- Proficiency in TypeScript/JavaScript and Python
- Track record of shipping production-quality code in fast environments
- Experience contributing to open-source projects
- Ability to take complex problems from ideation to completion
- Technical Versatility: Switch between infrastructure and application development seamlessly
- Intellectual Horsepower: Combine sharp technical skills with execution excellence
- Growth Mindset: Learn new technologies rapidly and embrace challenges
- Team Elevation: Mentor others and raise the bar through collaboration
- Customer Focus: Translate user feedback into features with urgency
While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.
More About Arize
Arize’s mission is to make the world’s AI work and work for the people. Our founders came together through a common frustration: investments in AI are growing rapidly across businesses and organizations of all types, yet it is incredibly difficult to understand why a machine learning model behaves the way it does after it is deployed into the real world.
Learn more about Arize in an interview with our founders: https://www.forbes.com/sites/frederickdaso/2020/09/01/arize-ai-helps-us-understand-how-ai-works/#322488d7753c
Diversity & Inclusion @ Arize
Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture
- Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI
- Culturally conscious events such as LGBTQ trivia during pride month
- We have an active Lady Arizers subgroup
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What We Do
The leading machine learning observability platform for ML practitioners to detect and troubleshoot AI/ML model issues
