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# Software Engineer, AI & Data Systems

- **Company:** ONE STOP COLLECTIBLE CORP
- **Location:** San Francisco, CA, United States
- **Salary:** $200,000.0 - $280,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Mobile Application Development, Data Cleansing, Data Infrastructure, Programming Tools, Distributed Systems, Software Engineering, Large Language Models, Multi-Agent Systems, Backend, Virtual Agents, Data Pipelines, User Identification
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/software-engineer-ai-data-systems-clera-9822037

## About the Role

* 1-6 years of software engineering experience, ideally at an early-stage startup (seed through Series A/B) shipping across both product and infrastructure.
 * Demonstrated end-to-end ownership of a production system - from initial concept through deployment and ongoing operations.
 * Strong backend engineering fundamentals: APIs, data modeling, and distributed systems.
 * Hands-on experience building and operating high-volume data pipelines.
 * Strong CS fundamentals, preferably from a rigorous academic background.
 * Experience with AI-native development: LLMs, agent frameworks, and AI agent systems.
 * Familiarity with identity resolution, data enrichment, or entity-matching systems is a plus.
 * Comfortable using modern AI development tools aggressively while maintaining sound engineering judgment.
 * Available to start by mid-September 2026.

## Description

Join a small, high-ownership engineering team at a seed-stage people data and AI infrastructure company building one of the world's largest real-time identity graphs. You'll work across backend, data, and infrastructure surfaces to ship customer-facing products and core platform capabilities - taking ambiguous problems all the way from concept to production., * Build and ship customer-facing products and platform capabilities spanning backend services, data infrastructure, and frontend surfaces.

 * Design and operate high-volume data pipelines and services at massive scale with a strong focus on reliability, security, and observability.
 * Build AI agents, agent harnesses, and developer tooling - then own and operate them reliably in production at scale.
 * Make architecture decisions, articulate tradeoffs clearly, and iterate designs as requirements evolve.
 * Work directly with founders and customers to translate vague requests into clear product decisions and working software.


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