AI Software Engineer

Photon; Chicago (IL); Sur place; USD 120 000 - 180 000; Plein temps

Résumé du poste

Photon is seeking an AI Software Engineer to oversee the technical backbone of our autonomous tools. You will design and deploy scalable pipelines that connect data layers to execution engines, enabling intelligent automation across Digital Modernization initiatives.

In this role you will integrate GenAI services, build multi-agent orchestration platforms, and work with design and product teams to translate workflows into reliable backend architecture.

Responsabilités

• 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.

Description du poste

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.