AI Backend Engineer

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 not require a CS or Engineering degree. We care about your ability to ship, your systems thinking, and evidence of strong execution - whether through production work, open-source contributions, research, or high-quality side projects.

Who You Are

Backend engineer with sharp product judgment - You design and build services, APIs, data models, and infrastructure that are reliable, observable, secure, and fast. You're building strong instincts for architectural tradeoffs and you actively seek feedback on your design decisions. You optimize for outcomes - developer velocity, latency, correctness, uptime - and not just for elegance in the abstract.

Systems thinker - You're developing the muscle to see around corners. While solving today's stated requirements, you anticipate how services will need to evolve - functionally and non-functionally. You design for the future but build for the present, and you ask good questions about why things are built a certain way and push back when complexity isn't justified.

Applied AI builder who ships to production - You're energized by LLMs, multimodal agents, orchestration protocols, and the messy work of making the entire AI stack reliable. You think instinctively in terms of evals, model regression tests, traceability, and exception handling. You've built at least one meaningful AI-powered project - whether production, open-source, or a serious side project - and you understand the gap between a working demo and a reliable system.

AI-native developer across the entire SDLC - You wield tools like Cursor, Claude Code, and Copilot as extensions of your craft. You are extremely confident to run concurrent agents doing your chores reliably. You use AI to generate technical designs, scaffold APIs, draft schemas, write tests, and build migration plans. You're hungry to master these workflows and are already noticeably faster than peers who haven't embraced AI tooling.

Ship with velocity and craft - You find the shortest path to g