Senior/Staff Software Engineer (Platform)

Clera

• $160K — $250K *
Manufacturing & Automotive
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in building backend services and data pipelines in production.
  • Recent hands-on expertise with TypeScript and Next.js.
  • Experience with AI frameworks, LLM-based agents, and productionizing ML models in backend systems.
  • Ability to design systems with transactional guarantees and idempotent APIs.
  • Experience in extracting data from unstructured documents using NLP/ML techniques.
  • Proficiency in designing and scaling PostgreSQL schemas for transactional workloads.
  • Background in building event-driven systems and integrating with ERP systems.

Responsibilities

  • Design and scale backend services with Next.js for high-throughput order processing.
  • Build and deploy LLM-based agents and AI infrastructure for quote analysis.
  • Own the data layer, focusing on relational database design and complex queries.
  • Architect event-driven systems for order management and synchronization.
  • Implement caching and rate-limiting for external API calls at scale.
  • Establish monitoring and alerting for backend systems and manage incident responses.

Benefits

  • Visa sponsorship available.
  • Fully remote work environment.
  • Potential for hybrid or on-site work in San Francisco, California.
Full Job Description
About the Role

This is a platform engineering role at an early-stage AI startup building autonomous back-office and supply chain operations for US manufacturers. You will design and own the backend systems, data pipelines, and AI integrations that coordinate intelligent agents and high-stakes transactions across complex manufacturing workflows. The work is foundational and high-impact on a very small team.
What You'll Do
  • Design and scale backend services using Next.js API routes, background jobs, and serverless functions to handle high-throughput order processing.
  • Build and productionize 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 strategies to ensure reliable external API calls at scale.
  • Establish monitoring, alerting, and observability patterns while owning incident response for backend systems.
What We're Looking For
  • 5 or more years building backend services, data pipelines, or platform infrastructure in production environments.
  • Deep, recent hands-on experience with TypeScript and Next.js.
  • Direct experience with AI or agentic frameworks alongside web-development expertise, including LLM-based agents, RAG patterns, or productionizing ML models in backend systems.
  • Demonstrated ability to design and implement systems with transactional guarantees (ACID semantics, exactly-once processing) and idempotent APIs.
  • Experience building NLP/ML pipelines for extracting data from unstructured documents, including OCR and information extraction.
  • Experience designing and scaling PostgreSQL or relational database schemas for transactional workloads.
  • Experience building event-driven systems, message queues, or reliable data pipelines for state management and cross-system synchronization.
  • Experience integrating with ERP systems (SAP, Oracle, or similar) and third-party or legacy APIs.
  • Professional background in manufacturing supply chain, procurement, or logistics domains.
  • Comfort operating on a very small startup team without rigid processes; prior founding or founding-engineer experience is a strong plus.
  • Strong computer science fundamentals.
Compensation & Benefits
  • Salary range: $160,000 to $250,000 per year (USD).
  • Visa sponsorship is available.
Location

Fully remote (US). San Francisco, California is preferred for candidates open to working on-site or hybrid, but remote candidates across the United States are welcome.

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