AI Software Engineer

Photon; Sunnyvale (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Photon is seeking an AI Software Engineer to architect and deploy autonomous tooling that links data layers to execution engines. You will build scalable pipelines, integrate AI services, and ensure reliability of backend systems powering digital experiences.

You will collaborate with design and product teams to translate workflow concepts into robust backend architectures, focusing on high availability, performance, and secure data handling. 7+ years of similar experience is desirable.

Qualifications

• 7+ years designing, developing, and deploying AI-enabled software.
• Experience building multi-agent orchestration platforms and AI-backed workflows.
• Strong API integration and backend architecture skills.

Responsibilities

• Design, develop, and deploy autonomous AI tools and pipelines.
• Build multi-agent orchestration platforms and evaluation pipelines.
• Integrate Generative AI services (OpenAI, Claude, LangChain) to automate parsing and actions.

Skills

System design

Distributed systems

API integration

AI/ML

Education

BS/MS in Computer Science

Tools

OpenAI API

Claude

LangChain

RAG pipelines

Job description

What are we looking?

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.

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

• 7+ Years of experience designing, developing, and deploying 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.