Technical Engineer

Clera•San Francisco, CA

4d•Onsite

About The Position

This is a founding-level engineering role at an early-stage, venture-backed AI SaaS company transforming how industrial manufacturers and distributors operate. You'll work directly alongside the founding team to build and scale the technical infrastructure powering an industrial B2B marketplace — from intelligent data pipelines and AI/ML systems to full-stack marketplace features that process transactions at significant scale. This is a high-ownership, high-impact position best suited to a builder who thrives in fast-moving environments and wants to shape both product and technical strategy from the ground up. The interview process includes a two-week paid work trial.

Requirements

Strong full-stack production experience with a proven ability to ship rapidly and reliably.
True full-stack capability — comfortable with both backend and frontend work.
Proficiency with modern web technologies: React / Next.js, TypeScript, REST/GraphQL APIs.
Solid ML engineering background — experience setting up data pipelines and maintaining infrastructure for both traditional ML models and AI agents.
3–7 years of experience in ML engineering or building reliable ML systems.
DevOps expertise including infrastructure as code (CloudFormation and/or Terraform).
Track record at a top-tier organization (e.g., FAANG, unicorn startup, or equivalent high-caliber engineering environment).
Experience setting up and maintaining data pipelines at scale.
Experience maintaining infrastructure for AI agents and traditional ML workloads.

Nice To Haves

Experience with marketplace or e-commerce platforms.
Background in manufacturing, supply chain, or B2B enterprise software.
Hands-on experience with LLM integration and AI agent frameworks.
Previous early-stage startup experience.
Cloud operations, monitoring, and cost optimization exposure.
Experience with Dagster or similar orchestration tools (e.g., Airflow).

Responsibilities

Build and scale the technical backbone of an industrial B2B marketplace platform.
Design and maintain data pipelines (Dagster or similar) ingesting data from thousands of manufacturers and distributors.
Implement DevOps best practices and manage cloud infrastructure using CloudFormation and AWS.
Develop AI/ML integrations and AI agent workflows that automate industrial sales and distribution processes.
Deliver features across the full stack: Next.js / Vercel frontend, Supabase backend, and modern data infrastructure.
Own end-to-end delivery of projects that directly enable large transaction volumes.
Contribute to technical strategy as the platform scales from software tooling to a full marketplace.