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Clera

Senior/Staff Software Engineer, Platform

Salary

$160K - $250K

Listed in the posting

Pays more than 38% of 2,652 software engineer listings in USD.

This job
$160k–$250k
Typical
$223k
Most pay
$187k–$269k
Apply on company site

Benefits

  • Visa sponsorship

Skills

AI
API
AWS
Cloud
Data Engineering
Data Pipelines
Event-driven Architecture
LLM
Llmops
Machine Learning

Nice to have

Model Evaluation
Next.js

Full job description

Description

About the Role

Join the platform team at an early-stage AI company working in manufacturing supply chains. You will build the backend services, data systems, and AI capabilities that support reliable procurement and movement of materials through complex workflows.

What You'll Do

  • Design and scale backend services with 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.

  • Build reliable event-driven pipelines for order state management, notifications, and cross-system synchronization.

  • Implement caching and rate limiting to support dependable external API integrations.

  • Establish monitoring, alerting, and observability practices, and own incident response for backend systems.

Location

Remote within the United States. Primary location: San Francisco, California.

Requirements

What We're Looking For

  • Staff or Senior Staff-level experience and a track record of building products and systems from the ground up, with 4 to 12 years of professional experience.

  • Professional TypeScript experience and recent hands-on experience with Next.js, plus full-stack experience across TypeScript, Python, and Go.

  • A strong data engineering background, including data pipelines and large-scale data processing.

  • Hands-on AI development or AI infrastructure experience, including production LLM products, LLMOps, model evaluation, and familiarity with the broader AI/ML lifecycle.

  • Experience with AWS or other cloud infrastructure, including security and data privacy, and with owning internal tools and systems end to end.

  • Manufacturing supply chain, procurement, or logistics domain knowledge is valuable.

Benefits

Compensation & Benefits

Base salary: $160,000 to $250,000 annually. Visa sponsorship is available.

Apply on company site

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Salary

$160K - $250K

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