AI Automation Engineer: Multi-Agent & LLM Systems

Photon; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Photon seeks an experienced software engineer to design, develop, and deploy AI agentic workflow frameworks and multi-agent orchestration platforms. You will integrate LLMs and retrieval systems via OpenAI APIs, Claude, and LangChain, building scalable backend pipelines and production evaluation tools.

You will collaborate with design and product teams to deliver reliable, highly available backend architecture and automated data parsing, mapping, and action triggers across services.

Qualifications

• Requires software engineering expertise across API integrations and AI automation.
• Experience with multi-agent orchestration and LLM integrations a must.
• Familiarity with retrieval-augmented generation and production evaluation pipelines.

Responsibilities

• Design AI agentic workflow frameworks and orchestration platforms.
• Develop and deploy backend architecture for highly available systems.
• Integrate OpenAI, Claude, and LangChain services into workflows.
• Build retrieval-augmented pipelines and evaluation tooling for production.
• Collaborate with design and product teams to align AI capabilities with product goals.

Skills

AI Agentic Frameworks

Software Engineering

API Integration

AI-Driven Automation

Multi-Agent Orchestration

LLM Integration

Retrieval-Augmented Generation

Evaluation Pipelines

OpenAI APIs

Claude

LangChain

Data Parsing

Data Mapping

Backend Architecture

Scalable Pipelines

High Availability

Job description

Photon seeks an experienced software engineer to design, develop, and deploy AI agentic workflow frameworks and multi-agent orchestration platforms. You will integrate LLMs and retrieval systems via OpenAI APIs, Claude, and LangChain, building scalable backend pipelines and production evaluation tools.

You will collaborate with design and product teams to deliver reliable, highly available backend architecture and automated data parsing, mapping, and action triggers across services.