Company
Engineering
Senior/StaffSoftwareEngineer(Platform)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior/Staff Software Engineer (Platform). Skills: Backend services, AI agents, Data layer, Event-driven systems. Design backend services. Scale backend services”
Industry & Context.
What They're Looking For.
Must Have
Experience designing data processing, Experience implementing data processing, Experience with transactional guarantees, Experience with idempotent APIs, Experience with NLP/ML pipelines, Experience extracting data, Experience with OCR, Experience with information extraction, Experience integrating with ERP systems, Experience integrating with freight/carrier APIs
Nice to Have
Experience with SAP, Experience with Oracle, Experience with legacy interfaces, Experience with poorly documented interfaces
What You'll Do.
Design backend services
Scale backend services
Build AI-powered agents
Develop LLM-based agents
Productionize LLM-based agents
Develop AI/ML infrastructure
Productionize AI/ML infrastructure
Productionize RAG patterns
Design PostgreSQL schemas
Design complex queries
Architect event-driven systems
Build reliable pipelines
Implement rate limiting
Ensure reliable API calls
Drive platform reliability
Establish monitoring patterns
Establish alerting patterns
Establish observability patterns
Own incident response
Full Job Description
ABOUT THE ROLE You'll build the software layer that enables autonomous manufacturing operations. This role involves designing scalable backend services, data pipelines, and integrations with ERP and freight systems to move physical goods reliably. You'll be central to coordinating AI-powered agents and high-stakes transaction processing across complex manufacturing workflows. WHAT YOU'LL DO - Design and scale backend services, including Next.js API routes, background jobs, and serverless functions for high-throughput order processing. - Build AI-powered agents by developing and productionizing LLM-based agents, AI/ML infrastructure, and RAG patterns for intelligent quote analysis and supplier recommendations. - Own the data layer by designing PostgreSQL schemas, migrations, and complex queries for materials, quotes, orders, and supplier relationships. - Architect event-driven systems with reliable pipelines for order state management, notification triggers, and cross-system synchronization. - Implement caching and rate limiting to ensure reliable external API calls at scale. - Drive platform reliability by establishing monitoring, alerting, and observability patterns and owning incident response for backend systems. WHAT WE'RE LOOKING FOR - Experience designing and implementing reliable data processing with transactional guarantees (ACID semantics, exactly-once processing) and idempotent APIs. - Experience with NLP/ML pipelines to extract data from unstructured documents and emails, including OCR and information extraction. - Domain knowledge of manufacturing supply chain, procurement, and logistics workflows. - Strong computer science fundamentals; open to all educational backgrounds. - Experience integrating with ERP systems (e.g., SAP, Oracle) and freight/carrier APIs, including legacy or poorly documented interfaces. - Background in the supply chain domain.
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