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# Software Engineer

- **Company:** ONE STOP COLLECTIBLE CORP
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $130,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Software Debugging, Python (Programming Language), Routing, Software Engineering, Systems Integration, Backend, Build Tools, Front End Software Development, Data Pipelines
- **Published:** September 21, 2026
- **Apply:** https://startup.jobs/senior-software-engineer-clera-10135975

## About the Role

* 5+ years of professional software engineering experience and a track record of shipping production systems
 * Experience across full stack and comfort solving problems across backend, frontend, data pipelines or infrastructure
 * Strong background in retrieval pipelines, knowledge grounding, or multi step workflows
 * Familiarity with AI model selection, routing, prompt optimization, and cost or latency considerations
 * Experience building observability, tracing, and debugging for complex pipelines
 * Proficiency in at least one backend language such as Python, Go, Rust, or Java
 * Hands on experience integrating with third party APIs and handling production failure modes
 * Strong communication skills and ability to influence product decisions

## Description

A role on a hospitality focused AI platform team responsible for building and maintaining end to end AI systems. You will own substantial parts of the stack and work with a flat team to ship impactful features that improve guest interactions and operations., * Design and implement the response generation and orchestration pipeline for AI agents.

 * Develop and ground knowledge retrieval to ensure accurate and current data in conversations.
 * Build tool orchestration layers for multi step workflows and handle third party API failures gracefully.
 * Create evaluation frameworks and observability controls to monitor quality and reliability.
 * Collaborate on interfaces that allow non technical stakeholders to adjust agent behavior.
 * Extend systems to voice conversations including real time transcription and tool use.
 * Optimize for speed and cost through routing, caching, and prompt refinement.
 * Own infrastructure, data pipelines, integrations, and API work that underpin the platform.


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