This position is no longer available
Founding AI Engineer
on-site•San Francisco, San Francisco•$150k - $200k+ 0.50% - 1.00%
Summary
Location
San Francisco, San Francisco
Salary
$150k - $200k
Equity
0.50% - 1.00%
Workplace
On-site
Experience
3+ years
Visa
US citizen/visa only
Company links
This position is no longer available
This job listing has been removed by the employer and is no longer accepting applications.
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About Middleware
Middleware is a fast-growing startup with a well-funded tier 1 firm with a mission to help organizations gain insights and visibility into their complex systems and applications. Our observability platform is designed to provide AI-based real-time monitoring and alerting capabilities and advanced analytics and reporting tools. We are passionate about delivering a world-class cost-effective product and providing exceptional customer service. We are looking for talented individuals who share our values and vision to join our team.
About the role
Skills: Python, TypeScript
We're looking for a talented and experienced AI/ML founding engineer to join the Middleware team. You'll play a key role in building AI on our observability platform to detect and fix issues automatically. In this role, you’ll be able to design, develop, and deploy intelligent solutions that take action where our platform identifies problems. We are looking for someone to help us invent the future of DevOps for the AI age.
Key Responsibilities
Build AI-Powered Remediation Systems: Design and implement machine learning models that can identify, diagnose, and automatically resolve system issues detected by our observability platform.
Own the AI/ML Pipeline: Take end-to-end ownership of the AI lifecycle — from data collection and preprocessing to model training, evaluation, and deployment.
Integrate with Observability Stack: Work closely with the core platform team to integrate AI solutions into the existing observability infrastructure (e.g., logs, metrics, traces).
Experiment and Iterate: Rapidly prototype and experiment with different models and approaches (e.g., anomaly detection, root cause analysis, LLM-based insights) to find what works best.
Collaborate Cross-Functionally: Partner with product, backend, and DevOps teams to align AI capabilities with user needs and infrastructure realities.
Set the Technical Direction: As an early technical hire, contribute to foundational architecture decisions and establish best practices for AI/ML within the company.
Ensure Reliability and Scalability: Build systems that perform reliably at scale and integrate safely into production environments.
Stay Ahead of the Curve: Keep up with the latest advancements in AI/ML and observability to help shape our product roadmap.
Qualifications
Engineers with experience building AI products (do side-projects count?)
Solid software engineering skills: Proficiency in Python and TypeScript.
Systems knowledge: Understanding of observability tools (e.g., Prometheus, OpenTelemetry).
Owner mindset: Comfortable working in a fast-paced, ambiguous environment with limited structure and high ownership.
Few more facts
We're backed by some of the best investors in the world, like Y Combinator, 8VC, Fin Capital, Tokyo Black (Looker founder fund), Guillermo Rauch (founder of Vercel) and many more.
You will grow fast and work at scale - we collect and process 1 petabyte of data monthly. So you will be working with a large dataset to process and store.
You like being rewarded directly for your high output
Founder and CEO Laduram built the company before, took it to 200 people, and raised $57m in venture funding.
If you are excited about the prospect of building an AI-based cutting-edge observability platform and working with a team of talented and passionate engineers, we encourage you to apply for this position.
Please include your GitHub.
What you'll do
- Build AI-Powered Remediation Systems: Design and implement machine learning models that can identify, diagnose, and automatically resolve system issues detected by our observability platform.
- Own the AI/ML Pipeline: Take end-to-end ownership of the AI lifecycle — from data collection and preprocessing to model training, evaluation, and deployment.
- Integrate with Observability Stack: Work closely with the core platform team to integrate AI solutions into the existing observability infrastructure (e.g., logs, metrics, traces).
- Experiment and Iterate: Rapidly prototype and experiment with different models and approaches (e.g., anomaly detection, root cause analysis, LLM-based insights) to find what works best.
- Collaborate Cross-Functionally: Partner with product, backend, and DevOps teams to align AI capabilities with user needs and infrastructure realities.
- Set the Technical Direction: As an early technical hire, contribute to foundational architecture decisions and establish best practices for AI/ML within the company.
- Ensure Reliability and Scalability: Build systems that perform reliably at scale and integrate safely into production environments.
- Stay Ahead of the Curve: Keep up with the latest advancements in AI/ML and observability to help shape our product roadmap.
About Middleware
About MiddlewareMiddleware is a fast-growing startup with a well-funded tier 1 firm with a mission to help organizations gain insights and visibility into their complex systems and applications. Our observability platform is designed to provide AI-based real-time monitoring and alerting capabilities and advanced analytics and reporting tools. We are passionate about delivering a world-class cost-effective product and providing exceptional customer service. We are looking for talented individuals who share our values and vision to join our team.FoundersLaduram Vishnoi Founder & CEO at Middleware. Ex-founder of Acquire.io, a customer engagement platform, I took the company from just myself to 200 people and raised $57m in venture capital until the Series B round. Side angel investor and advisor. Born in a small town in India called Jodhpur, grew up in London and living in San Francisco since 2016.San Francisco 40 people B2B Software and Services Infrastructure
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Frequently Asked Questions
What does Middleware pay for a Founding AI Engineer?
Middleware offers a competitive compensation package for the Founding AI Engineer role. The salary range is USD 150k - 200k per year, plus 0.50% - 1.00% equity. Apply through Clera to learn more about the full compensation details.
What does a Founding AI Engineer do at Middleware?
As a Founding AI Engineer at Middleware, you will: build AI-Powered Remediation Systems: Design and implement machine learning models that can identify, diagnose, and automatically resolve system issues detected by our observability platform.; own the AI/ML Pipeline: Take end-to-end ownership of the AI lifecycle — from data collection and preprocessing to model training, evaluation, and deployment.; integrate with Observability Stack: Work closely with the core platform team to integrate AI solutions into the existing observability infrastructure (e.g., logs, metrics, traces).; and more.
Is the Founding AI Engineer position at Middleware remote?
The Founding AI Engineer position at Middleware is based in San Francisco, United States and San Francisco, United States and is on-site. Contact the company through Clera for specific work arrangement details.
How do I apply for the Founding AI Engineer position at Middleware?
You can apply for the Founding AI Engineer position at Middleware directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.