5-12 years of hands-on experience in software development, particularly in building from scratch.
Proficient in TypeScript and Next.js, with full-stack capabilities in Python and Go.
Strong background in data engineering, specifically in creating data pipelines and processing systems.
Experience in developing AI products, including LLMs and understanding the AI/ML lifecycle.
Familiarity with agent orchestration and RAG patterns in AI infrastructure is a plus.
Knowledge of AWS or similar cloud platforms, focusing on security and data privacy.
Experience in building internal tools and managing systems end-to-end, preferably in a startup setting.
Understanding of manufacturing supply chain, procurement, or logistics is advantageous.
Responsibilities
Design and scale backend services for high-throughput order processing using Next.js API routes and serverless functions.
Build and deploy LLM-based agents and AI/ML infrastructure for quote analysis and supplier recommendations.
Create PostgreSQL schemas and complex queries for managing materials, quotes, and orders.
Architect event-driven pipelines for effective order state management and system synchronization.
Implement caching and rate-limiting strategies for reliable API integrations.
Establish monitoring and alerting practices, taking ownership of backend incident response.
Benefits
Visa sponsorship available for eligible candidates.
Remote work flexibility within the United States.
Opportunity to work in an early-stage company with significant growth potential.
Engagement in cutting-edge AI and manufacturing technologies.
Full Job Description
Join the platform team at an early-stage AI manufacturing and supply chain company. You will build the backend services, data systems, and AI infrastructure that coordinate manufacturing workflows and help move materials reliably through complex supply chains. What You'll Do
Design and scale backend services using Next.js API routes, background jobs, and serverless functions for high-throughput order processing.
Build and productionize LLM-based agents, AI/ML infrastructure, and RAG patterns for quote analysis and supplier recommendations.
Design PostgreSQL schemas, migrations, and complex queries for materials, quotes, orders, and supplier relationships.
Architect event-driven pipelines for order state management, notifications, and synchronization across systems.
Implement caching and rate-limiting strategies for reliable external API integrations.
Establish monitoring, alerting, and observability practices, and own backend incident response.
What We're Looking For
Staff or Senior Staff-level experience, with a track record as a hands-on 0-to-1 builder; 4 to 12 years of professional experience.
Professional TypeScript experience and recent hands-on experience with Next.js, plus full-stack experience across Python and Go.
Strong data engineering experience building data pipelines and large-scale processing systems.
Direct experience developing AI products or infrastructure, including production LLM products, LLMOps, model evaluations, and familiarity with the AI/ML lifecycle.
Experience with agent orchestration, RAG, and related AI infrastructure is valuable.
AWS or other cloud infrastructure experience, including security and data privacy.
Experience building internal tools and owning systems end to end, ideally in a startup or small-company environment.
Manufacturing supply chain, procurement, or logistics domain knowledge is valuable.
Compensation & Benefits
Base salary: $160,000 to $250,000 annually. Visa sponsorship is available. Location
Remote in the United States. Primary location: San Francisco, California.
