Prove AI provides the foundation for predictable and reliable production AI models and agents. With Prove AI, builders can productionalize AI and prove its ROI by setting and maintaining custom performance metrics with their preferred tooling. Built on the open source OpenTelemetry and Prometheus projects, Prove AI allows builders to self-host their data and improve mean time to remediation for AI performance issues and troubleshooting.

Our platform captures full-lifecycle telemetry across data, prompts, models, infrastructure, and agentic logic, then we are on the journey toward root causes and effective remediation. Unlike traditional observability tools that stop at detection, Prove AI is focused on resolution, handoff, collaboration workflows and continuous improvement—reducing time-to-resolution and enabling teams to confidently scale GenAI into production.

Our culture is grounded in our Playbook for Winning: we move fast, obsess over real user pain, and act like owners from discovery through delivery. This is a high-ownership, low-bureaucracy environment where close collaboration with product and engineering is essential.

We’re growing fast, and we’re looking for a Senior Software Engineers who can can take end-to-end ownership of complex full-stack systems—spanning TypeScript, React, Node.js, and generative AI integrations—and operate effectively in a fast-moving, early-stage environment

About the Role:

We are looking for a Senior Software Engineer who can take end-to-end ownership of complex full-stack systems powering our GenAI platform.

This role is focused on experienced, hands-on engineers who thrive in ambiguity and can translate product intent into reliable production systems. You will build and ship production-grade AI capabilities—spanning evaluation pipelines, tracing systems, platform APIs, and developer-facing UI.

You will work closely with product and engineering leadership to deliver real AI infrastructure used by customers in production—not demos or experimental tooling.

What You’ll Do

Design and ship production-grade AI platform features
Build across the stack using TypeScript, React, Node.js, and Python where required
Implement and improve observability, telemetry, and AI tracing systems
Contribute to evaluation pipelines and quality measurement systems
Take ownership of features from shaping → implementation → release → iteration
Improve system reliability, performance, and cost efficiency
Contribute to architectural discussions and engineering standards
Operate independently while collaborating closely with product and peers

What We’re Looking For

Required Experience

5–10+ years of professional engineering experience
Strong hands-on experience building production systems
Experience building or integrating LLM-powered systems (RAG, embeddings, workflows, agents)
Strong TypeScript, React, and Node.js capability
Practical understanding of AI production concerns (evaluation, safety, latency, cost trade-offs)
Ability to ship full-stack features without prolonged ramp-up
Strong debugging and performance optimization skills

Strong Plus