AI Backend Engineer

Klarity is an innovative company focused on transforming enterprise operations through its AI platform. They are seeking an AI Backend Engineer to design and build backend services that support multimodal agents, ensuring reliability and security while delivering high-quality features at speed.

Responsibilities

• 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. You'll work within established security patterns and contribute to extending them as new use cases arise
• Grow your impact across disciplines - You'll develop fluency across backend, AI, product, and infrastructure by working alongside teammates from each discipline. 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

Company

• AI business analyst for enterprise process discovery and continuous improvement
• San Francisco, California, USA
• https://www.within.ai/
• Founded in 2017
• 51-200 employees

Qualifications

• 1-3 years shipping production code (or exceptional new grads with strong portfolios)
• Ability to design and build services, APIs, data models, and infrastructure that are reliable, observable, secure, and fast
• Developing the muscle to see around corners while solving today's stated requirements
• Experience with LLMs, multimodal agents, orchestration protocols, and making the entire AI stack reliable
• Built at least one meaningful AI-powered project - whether production, open-source, or a serious side project
• Confidence to run concurrent agents doing chores reliably
• Ability to generate technical designs, scaffold APIs, draft schemas, write tests, and build migration plans using AI tools
• Find the shortest path to get features into users' hands while obsessing over details that create trust
• Ability to see distributed systems challenges as puzzles waiting to be solved
• Design, experiment, build, test, and deploy backend services that power everything users use
• Implement AI orchestration pipelines that hold up under real-world variability
• Balance long-term architectural vision with relentless shipping cadence
• Design least-privilege access, strong tenant isolation, auditability, and secure data handling
• Develop fluency across backend, AI, product, and infrastructure

Required skills

• AI Orchestration Pipelines, AI Tooling Claude Code, AI Tooling Copilot, AI Tooling Cursor, Applied AI, Backend Engineering, Distributed Systems, Energy, Enterprise Security, Passion for Craft, Product Judgment, Scalable Systems, Systems Thinking

Experience

• 1+ years