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$ cat jobs/ai-backend-engineer-klarity-ai-af47d510e898.json

AI Backend Engineer

Klarity Ai·US·San Francisco (Klarity HQ)·mid
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About Klarity Tldr on us: Series B, $91M raised, 7x growth last year. Digital Transformation gave rise to a $600B consulting Industry. AI Transformation will be 10x bigger and will be delivered through agents. We built that. Our AI discovers how work actually happens across every team and application, Structures it into a living Context Graph, and Improves it continuously. ServiceNow mapped 900+ processes in 9 days. DoorDash captured 3,800+ finance operations in 14 weeks. That's not a project. That's compounding intelligence. OpenAI, Google, DoorDash, and Stripe use Klarity to transform how they transform. We shipped GPT-4 document chat within 12 hours of OpenAI's API launch. We move fast, reward agency, and care deeply about our customers, our team, and our mission. AI BACKEND ENGINEER @ KLARITY Experience: 1-3 years shipping production code (or exceptional new grads with strong portfolios) Location: San Francisco / Bay Area (Relocation assistance available) Job Type: Full-time THE ROLE We're hiring Backend + Applied AI Engineers to build the core systems that power Klarity's multimodal agents in real enterprise environments. This is a hands-on engineering role at the intersection of distributed systems and applied AI: you'll design and ship backend services that ingest messy real-world data, orchestrate model/agent workflows, enforce enterprise-grade security and deliver reliable outcomes at scale. You'll work closely with product, design, and other engineers to turn ambitious AI capabilities into production-grade features that Fortune 500 enterprises can depend on. We care deeply about engineering fundamentals (correctness, observability, security, performance) and equally about iteration speed - because in this space, only the teams who ship quality products & features at incredible velocity win. You'll be paired with senior engineers who'll accelerate your growth, but you'll own real features from day one - we don't believe in extended bench time. Note: We do n