Senior/Staff Software Engineer, Platform

CLERA; San Francisco (CA); Remote; USD 160,000 - 250,000; Full time

Benefits offered by this job

Visa sponsorship

Job summary

Clera Labs, Inc. is seeking a Staff or Senior Staff backend engineer to build scalable systems for an early-stage AI company focused on manufacturing supply chains. You will own backend services, data systems, and AI capabilities to support procurement and material movement across complex workflows.

Role requires hands-on experience with Next.js, TypeScript, Python, and Go, plus data engineering and AI infrastructure familiarity. Remote within the US; primary location San Francisco, CA.

Qualifications

• Staff or Senior Staff-level experience building products and systems from the ground up (4–12 years).
• Professional TypeScript experience and hands-on Next.js experience; full-stack TS, Python, Go expertise.
• Strong data engineering background with data pipelines and large-scale processing.
• Hands-on AI development or AI infrastructure experience, incl. production LLM products and lifecycle.
• Experience with AWS or other cloud infrastructure, security, and data privacy; owning internal tools end to end.
• Manufacturing supply chain, procurement, or logistics domain knowledge is valuable.

Responsibilities

• 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.

Skills

TypeScript

Next.js

Python

Go

Data engineering

AI infrastructure

LLMOps

AWS

Tools

PostgreSQL

Job 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.

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.

Compensation & Benefits

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

Location

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