AI Reliability Startup is looking for a Senior and Staff Engineer to join their growing team!
This Jobot Job is hosted by: Sydney Weaver
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $200,000 - $330,000 per year
A bit about us:
Backed by founders and execs from Hugging Face, Replit, Google, and more, this early-stage company is building the go-to platform for testing, monitoring, and securing AI applications. With a customer base that already includes OpenAI and Anthropic, they’re transforming how LLM-based products go from prototype to production. You’ll be joining a technically elite team that has turned down Stanford PhD programs and Y Combinator to pursue their mission of making AI more trustworthy and production-ready.
They are looking for a Senior Full-Stack Engineer and a Staff AI Infra Engineer.
Why join us?
Competitive Compensation, Great Benefits, Remote Work, Growth Opportunity, Great Culture, PTO, 401K, and much more!
Job Details
Responsibilities
Lead end-to-end development of customer-facing features for the AI reliability platform
Design reusable, intuitive frontend components that make complex AI workflows easy to understand
Work cross-functionally with researchers to translate cutting-edge AI ideas into usable tools
Collaborate directly with customers to gather feedback, streamline workflows, and improve usability
Build highly available and performant web applications using modern tools like React, TypeScript, and Python
Contribute to backend systems and data architecture using technologies like Go, Rust, Postgres, Redis, and MongoDB
Requirement
Bachelor’s degree in Computer Science or a related field and 4+ years of experience for Senior and 7+ YOE for Staff
Proven track record building, shipping, and scaling complex distributed systems that solve critical business problems
Experience with backend languages such as Python, Go, or Rust
Familiarity with both relational and NoSQL databases
Have built and/or operated large scale, GPU-based model training and serving infrastructure
Are deeply knowledgeable about modern cloud infrastructure, including technologies like Kubernetes and Terraform, and platforms like AWS, GCP, and Azure
Strong product sense with an eye for user experience and clean design
Comfort in startup environments and willingness to own broad areas of the stack
Excellent communication skills and comfort interfacing directly with customers
Senior Role
Expertise in TypeScript and React
Experience with product management (unofficial or official)
Built and deployed LLM-based applications (e.g., agents, chatbots)
Worked in a founding engineer or technical leadership role at a startup
Experience with Kubernetes
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
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