AI Software Engineer, CA

Photon•United States,

2h•$54,000 - $189,000

About The Position

The AI Software Engineer is responsible for the technical backbone of autonomous tools. This role bridges software engineering, API integrations, and AI-driven automation to design and deploy intelligent, highly scalable pipelines connecting underlying data layers to execution engines. The engineer designs, develops, and deploys an AI Agentic Workflow Framework for autonomous and semi-autonomous business operations. The role also builds multi-agent orchestration platforms, LLM integration layers, retrieval systems (RAG), and production-grade evaluation pipelines. It integrates generative AI services to automate parsing, data mapping, and action triggers, and partners with design and product teams to translate workflow concepts into reliable, highly available backend architecture. The role calls for 7–10+ years of hands-on professional software engineering experience, with significant experience at a Senior, Staff, or Lead level scaling distributed systems. Relevant expertise includes LLM orchestration, custom prompt pipelines, state management, asynchronous event processing, cloud ecosystems, JVM languages, containerization, and microservices architecture. Compensation ranges from USD 54,000 to USD 189,000, based on the candidate’s experience and qualifications. Medical, vision, and dental benefits, a 401(k) retirement plan, variable pay or incentives, paid time off, and paid holidays are available to full-time employees. The position is also available to independent contractors.

Requirements

7–10+ years of hands-on professional software engineering experience.
Significant experience operating at a Senior, Staff, or Lead level scaling distributed systems.
Applied experience with LLM orchestration, custom prompt pipelines, state management, and asynchronous event processing.
Deep knowledge of cloud ecosystems such as GCP or AWS, JVM languages such as Java or Kotlin, containerization, and microservices architecture.

Responsibilities

Design, develop, and deploy the next-generation AI Agentic Workflow Framework for autonomous and semi-autonomous business operations.
Build multi-agent orchestration platforms, LLM integration layers, retrieval systems (RAG), and production-grade evaluation pipelines.
Integrate generative AI services to automate parsing, data mapping, and action triggers.
Partner with design and product teams to translate workflow concepts into reliable, highly available backend architecture.