Kinelo · 3 weeks ago
Full Stack Engineer (Backend/AI Focus)
San Francisco, CA
Full-time
Hybrid
Senior Level, Lead/Staff
8+ years expKinelo is building innovative infrastructure to integrate AI tools into software teams, enhancing project delivery and team dynamics. The Full Stack Engineer will focus on backend systems and AI agent orchestration, playing a key role in developing products that improve team collaboration and performance.
Computer Software
No H1B
Responsibilities
Build the intelligent core: Develop the context ingestion, memory systems, and orchestration infrastructure that enables AI agents to understand and act on team dynamics, project state, and organizational knowledge
Ship backend systems at scale: Design and implement reliable, performant server infrastructure in TypeScript that can scale horizontally across tenants
Integrate AI agents into workflows: Build and refine AI-powered agents that detect project threats, coordinate with each other, and surface insights to users—treating agents as first-class team members
Develop end-to-end features: Move between backend services, data pipelines, AI systems, and UI components to deliver complete product value
Balance velocity with quality: Combine cutting-edge AI practices with proven engineering patterns to ensure reliability, scalability, and maintainability while shipping fast
Collaborate across the stack: Work closely with product, design, and leadership to balance technical constraints with business goals and user needs
Build for the future, pragmatically: Make architectural decisions that enable long-term flexibility without over-engineering for scale we don't yet need
Qualification
Required
8+ years of professional software engineering experience, with a strong foundation built before AI became ubiquitous—you were a software engineer when engineering fundamentals mattered most
Strong TypeScript backend experience (recent and production-grade)
Relational database expertise: Deep understanding of when to use relational databases (Postgres preferred) vs. NoSQL/caching/queuing solutions. You know how to design schemas that scale, when ORMs help vs. hurt, and how indexes actually work
Cloud deployment experience: Comfortable deploying and troubleshooting containerized applications on public clouds. You can debug a Docker Compose file without handholding and understand how to architect for horizontal scaling
Strongly typed language background: Experience with at least one statically typed language (Go, Java, C++, Swift, Rust) beyond TypeScript—you write better TypeScript because you understand what strong typing gives you
Self-starter track record: You've taken projects from 0 to 1 and made technical decisions that had to work
Team collaboration: Experience working in complex codebases with multiple components and contributors
Preferred
Production AI/ML experience: Building and deploying agent systems or LLM-powered applications that solve real problems. Familiarity with current frameworks, software patterns, and the state of the art in agent implementations
Architectural judgment: Some experience architecting new projects (doesn't have to be massive systems). You can articulate complex distributed system designs and make pragmatic tradeoffs
Computer Science education or equivalent analytical degree from a rigorous institution—we value analytical thinking and foundational knowledge
Front-end/React experience (we'll have some UI to build, but it's not the focus)
Serverless experience (AWS Lambda or similar)
Experience with prompt engineering and LLM optimization
Benefits
Competitive benefits (health, vision, dental, 401K, etc.) and paid parental leave
Company
Kinelo
Kinelo is building AI that runs companies. Not by replacing people, but by working alongside them.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase