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# Software Engineer

- **Company:** PEOPLE INC.
- **Location:** San Francisco, CA, United States
- **Salary:** $170,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Logic, Automated Storage and Retrieval Systems, Distributed Systems, Systems Integration, Unstructured Data, Large Language Models, Generative AI, Web Api
- **Published:** August 31, 2026
- **Apply:** https://www.careerboard.com/us/en/find-jobs-in-United-States/-A3C9AA18D723762031/

## About the Role

* Strong software engineering fundamentals and experience shipping production systems
 * Experience building Back End services (APIs, distributed systems, data-backed applications)
 * Hands-on experience integrating external APIs, ideally LLM APIs (OpenAI, Anthropic, Bedrock, etc.)
 * Comfort working across the full lifecycle of a feature, from prototype to production
 * An ownership mindset and good product judgment

Nice to have, but not required:

 * Experience with RAG, embeddings, or vector databases
 * Working with unstructured data such as PDFs or documents
 * Exposure to AI evaluation, monitoring, or guardrails
 * Experience in regulated or high-trust domains

## Description

As an AI Software Engineer, you will build and own AI-powered product features end to end. This includes designing Back End systems that integrate LLMs, retrieval systems, and business logic into reliable, production-grade workflows used by real customers.

This role is ideal for engineers who:

 * Think like software engineers first
 * Are already integrating LLMs via APIs or want to move deeper into applied AI
 * Care about shipping, reliability, and real-world impact

What You'll Work On

 * Build and ship AI-powered features Embedded directly into the core product
 * Integrate LLM APIs into Back End systems for document understanding, reasoning, and automation
 * Design and operate retrieval-augmented generation (RAG) pipelines over proprietary data
 * Own systems in production, including monitoring, evaluation, and iteration
 * Work closely with product and design partners to turn real user problems into shipped solutions
 * Balance fast iteration with long-term maintainability and system health


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