Artificial Intelligence Engineer

Photon; Sunnyvale (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Photon in Sunnyvale, CA seeks an AI Software Engineer to shape the backbone of autonomous tools that connect data layers to execution engines. You will design scalable pipelines and integrate AI services to automate complex workflows.

You will collaborate with design and product teams to translate workflow concepts into reliable, highly available backend architecture, building multi-agent orchestration platforms, LLM layers, and robust evaluation pipelines.

Responsibilities

• Design, develop, and deploy the next-generation AI Agentic Workflow Framework enabling 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 (e.g., OpenAI APIs, Claude, LangChain) to automate parsing, data mapping, and action triggers.
• Partner closely with design and product teams to translate workflow concepts into reliable, highly available backend architecture.

Job description

For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check https://youtu.be/uJWBWQZEA6o.

What are we looking?

Overview:

The AI Software Engineer is responsible for the technical backbone of our autonomous tools. This role bridges software engineering, API integrations, and AI-driven automation to design and deploys intelligent, highly scalable pipelines that connect underlying data layers to execution engines.

What will you do?

Key Responsibilities

• Design, develop, and deploy the next-generation AI Agentic Workflow Framework enabling 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 (e.g., OpenAI APIs, Claude, LangChain) to automate parsing, data mapping, and action triggers.
• Partner closely with design and product teams to translate workflow concepts into reliable, highly available backend architecture.