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Senior/Staff Software Engineer, Platform

talenthop • United State
Remote Visa Sponsorship
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Develop and maintain backend services, data pipelines, and integrations for AI-powered agents in the manufacturing supply chain industry. Build and productionize LLM-based agents, RAG patterns, and event-driven systems to support complex manufacturing workflows and order processing. Requires 5+ years of experience in backend development, AI/ML infrastructure, and PostgreSQL, with a background in manufacturing or logistics.

Key Highlights
Fully remote role with a primary location in San Francisco, California
Annual salary range of $160,000 to $250,000 USD with visa sponsorship available
Focus on building AI-powered solutions for manufacturing supply chain operations
Key Responsibilities
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 retrieval-augmented generation (RAG) patterns for quote analysis and supplier recommendations
Design PostgreSQL schemas, migrations, and complex queries for materials, quotes, orders, and supplier relationships
Build event-driven pipelines for order state management, notifications, and synchronization across systems
Implement caching, rate limiting, and reliability patterns for external API integrations
Establish monitoring, alerting, and observability practices and own backend incident response
Technical Skills Required
Next.js TypeScript PostgreSQL
Benefits & Perks
Remote work available
Visa sponsorship available
Annual salary range: $160,000 to $250,000 USD

Job Description

This is a Fully Remote Job

About Our Client:

This organization operates in the AI and manufacturing supply chain industry, addressing the challenges of managing complex manufacturing workflows and the reliable movement of goods. They focus on developing AI-powered solutions to improve these processes, leveraging advanced technologies to support supply chain operations at scale.

About the Opportunity:

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