AI Backend Engineer

About Klarity

Klarity is a Series B company that has raised $91M and experienced 7x growth in the past year. We operate in the digital transformation industry, which is expected to grow to $600B. Our focus is on AI transformation, delivering it through multimodal agents. Klarity uses AI to discover how work happens across teams and applications, structures this into a context graph, and continuously improves it. Companies like OpenAI, Google, DoorDash, and Stripe rely on Klarity to transform their transformation processes.

The Role

We are looking for 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 will 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 will work closely with product, design, and other engineers to turn ambitious AI capabilities into production-grade features that Fortune 500 enterprises can depend on.

Who You Are

• A backend engineer with sharp product judgment - You design and build services, APIs, data models, and infrastructure that are reliable, observable, secure, and fast. You optimize for outcomes such as developer velocity, latency, correctness, and uptime.
• A systems thinker - 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.
• An AI-native developer across the entire SDLC - You use tools like Cursor, Claude Code, and Copilot to extend your craft. You are extremely confident running concurrent agents and are noticeably faster than peers who haven't embraced AI tooling.
• A shipper with velocity and craft - You find the shortest path to get features into users' hands while obsessing over the details that create trust. You balance speed and tech debt and believe speed and quality aren't opposites.
• A team player - You see gnarly distributed systems challenges as puzzles waiting to be solved. Your optimism, intensity, and passion for craft are contagious. You make everyone around you faster and more ambitious. You also frequently cross-pollinate learnings by seeking and sharing them with the team.

What You'll Do

• Build the backbone of Klarity's AI platform - Design, experiment, build, test, and deploy the backend services that power everything our users use. You'll own meaningful components of critical infrastructure, shipping features end-to-end with increasing scope and autonomy: from data ingestion and storage to API design, background processing, and deployment architecture.
• Turn AI pipelines into resilient workflows - Implement AI orchestration pipelines that hold up under real-world variability. You'll work with structured outputs, tool calling, state management, grounding, and other guardrails to ensure agents behave reliably at scale. You'll start by building and extending evals, adding guardrails, and hardening existing pipelines - rapidly developing the judgment to design new ones.
• Design for the future, ship for today - Balance long-term architectural vision with relentless shipping cadence. You'll make pragmatic decisions that keep the codebase healthy and the product moving forward - developing judgment on when to take on deliberate tech debt with the support of senior engineers.
• Build for enterprise security and scale - Design least-privilege access, strong tenant isolation, auditability, and secure data handling. You treat trust and safety as core engineering requirements, not afterthoughts. You also design and build systems that scale gracefully as a feature grows from 0 → 1 → 10 → 100.
• Grow your impact across disciplines - You'll develop fluency across backend, AI, product, and infrastructure by working alongside teammates from each discipline. You'll turn ambiguous product asks into clean technical specs and learn to bridge gaps between teams with working prototypes.

Benefits

• Equity in addition to competitive cash compensation
• 100% Employer-Paid Medical, Dental & Vision options!
• Paid Parental Leave
• $500 Annual Learning Fund
• $100 Monthly Wellness Fund
• 401k via Betterment
• Relocation support to San Francisco Bay Area (where applicable)
• Office-related Perks: BART or Caltrain to the office, Parking & Transit account, Snack Central, Safe & Secure Bike Room, Onsite Gym Access