Senior Full Stack Engineer (Front-End)

Location - San Francisco, CA - (Hybrid – In Office Monday, Wednesday & Friday)

Compensation - $180,000 – $250,000 Base + Competitive Equity

Visa - Visa Sponsorship Available - (H-1B Transfers & TN Visas Supported; No New H-1B Sponsorship)

Company Stage - Series A ($27.5M Raised)

Industry - Artificial Intelligence, Developer Tools, LLM Infrastructure, Enterprise AI, Retrieval Systems, AI Agents, Enterprise SaaS

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About the Company

The company is building one of the leading infrastructure platforms powering production AI applications for enterprises. Its software enables developers and organizations to build, deploy, and operate LLM-powered applications through advanced retrieval, agent orchestration, workflow automation, and data infrastructure.

Trusted by Fortune 500 companies across financial services, consulting, and enterprise technology, the platform processes more than 200 million documents every month while supporting one of the largest open-source AI communities in the industry, with over four million monthly downloads.

Backed by Greylock and Norwest, the company has grown from zero to nearly $10M ARR in just sixteen months and is targeting $20M ARR while preparing for its next stage of growth.

As a Senior Full Stack Engineer (Front-End), you'll become the company's deepest React and Next.js expert while owning the quality bar across the entire frontend platform. You'll work directly with Engineering, Product, Design, and enterprise customers to build AI-native products used by some of the world's largest organizations.

This is a unique opportunity to join one of the fastest-growing AI infrastructure companies where engineers own products from conception through production while influencing frontend architecture, developer experience, design systems, and customer-facing product quality.

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What You'll Do

• Own the frontend architecture and technical quality bar across the company's AI platform
• Build modern web applications using React, Next.js, TypeScript, and modern frontend tooling
• Design and ship AI-native product experiences from concept through production
• Build reusable design systems, frontend infrastructure, and scalable component libraries
• Own frontend CI/CD workflows and continuously improve engineering productivity
• Partner closely with Product, Design, and customers to rapidly prototype and launch new features
• Translate customer feedback into polished, intuitive product experiences
• Work across authentication, billing, user management, and enterprise platform functionality
• Collaborate with backend engineers working in Python, Node.js, Kubernetes, and Temporal
• Debug backend APIs and contribute to full-stack engineering when needed
• Improve product performance, reliability, scalability, accessibility, and overall user experience
• Help define engineering best practices, frontend architecture, and long-term platform direction

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Ideal Candidate Background

Experience Requirements

• 4–8 years of software engineering experience building modern web applications
• Experience shipping customer-facing products from concept through production
• Experience at both high-growth startups and larger technology companies preferred
• Experience owning frontend architecture while continuing to ship product features
• Experience building products with measurable customer and business impact
• Experience working in fast-paced startup environments
• Experience maintaining and scaling frontend platforms, design systems, and CI workflows
• Strong examples of long-term ownership and engineering execution

Technical Requirements

• Strong proficiency with React, Next.js, TypeScript, and modern frontend engineering
• Experience building scalable frontend architecture and reusable component systems
• Experience designing highly polished, customer-facing web applications
• Experience building frontend CI/CD pipelines and development workflows
• Familiarity with Python and backend development preferred
• Experience working with authentication, billing, user management, or enterprise SaaS platforms
• Experience building AI-native products or LLM-powered applications preferred
• Experience with React Query, shadcn/ui, or similar modern frontend ecosystems
• Strong understanding of frontend performance, accessibility, testing, and maintainability
• Ability to work across frontend, backend, infrastructure, and product engineering

Education

• Bachelor's degree in Computer Science or another technical discipline preferred
• Strong academic background from a top engineering university preferred
• Exceptional candidates with outstanding engineering accomplishments considered

Soft Skills

• Strong product intuition
• Excellent design sense
• Outstanding communication skills
• High ownership mentality
• Strong customer empathy
• Comfortable operating with ambiguity
• Self-directed and proactive
• Bias toward execution
• Strong collaboration across Engineering, Product, Design, and Customers
• Passion for AI-native product development

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Compensation & Benefits

• Base Salary: $180,000 – $250,000
• Competitive Equity Package
• Hybrid Work Environment (M/W/F in San Francisco)
• Visa Transfers Available (H-1B Transfer & TN)
• Relocation Assistance Available
• Opportunity to own the frontend architecture for one of the fastest-growing AI infrastructure companies
• Direct collaboration with Engineering Leadership
• High-impact ownership across product, frontend platform, and developer experience
• Opportunity to build AI-native enterprise software used by Fortune 500 companies
• Rapid career growth in a high-performance engineering culture

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Why Join

This is an opportunity to help define the frontend experience of one of the fastest-growing AI infrastructure companies in the industry.

You'll work at the intersection of artificial intelligence, developer infrastructure, enterprise software, and product engineering while building AI-native experiences that enable organizations to deploy production LLM applications at scale.

As a Senior Full Stack Engineer (Front-End), you'll own frontend quality across the platform, collaborate directly with engineering leadership, and build technology powering the next generation of enterprise AI.