Agentic AI Platform Developer

Saxon Global • Fort Worth, TX

1d • Hybrid

About The Position

American Airlines is seeking an experienced Agentic AI Platform Developer for its Agentic System Layer (ASL) team. The developer will build and maintain core platform components that power agentic AI systems, including reliable production services around AI components. The role calls for strong software engineering skills, especially in Python, plus experience developing production APIs and microservices, using cloud platforms, and integrating LLMs into applications. The developer will build, test, deploy, and support production systems in collaboration with architects and ML engineers.

This is a hybrid contract assignment based in Fort Worth, Texas, requiring onsite work Tuesday through Thursday and remote work Monday and Friday. The assignment runs through December 31, 2027. The interview process consists of two virtual rounds. H-1B candidates are accepted if visa and onboarding processing will not delay the start.

Requirements

• At least 5 years of software engineering experience.
• Strong proficiency in Python and working knowledge of at least one of Java, Go, or TypeScript.
• Hands-on experience building production REST or gRPC APIs and microservices.
• Experience with cloud platforms, preferably AWS or Azure.
• Knowledge of containerization technologies such as Docker and Kubernetes.
• Experience with CI/CD pipelines and infrastructure-as-code tools such as Terraform, CloudFormation, or Pulumi.
• Working experience with LLM integration patterns, prompt engineering, or AI/ML application development.
• Familiarity with AI orchestration frameworks such as LangChain, LangGraph, or similar tools.
• Strong problem-solving, communication, testing, and code ownership skills.
• Able to work onsite in Fort Worth, Texas, three days per week.
• H-1B candidates must be able to complete visa and onboarding processes without delaying the start.

Nice To Haves

• Machine learning and advanced AI/LLM application development.
• Experience with event-driven architectures, including Kafka and AWS EventBridge.
• Experience with vector databases and agent evaluation frameworks.
• Experience with observability tools such as Datadog, Splunk, and OpenTelemetry.
• Experience with FastAPI, Flask, asynchronous Python, and Redis or caching patterns.
• Experience in the airline or travel industry.
• Experience operating and supporting production AI systems.

Responsibilities

• Develop and maintain agent orchestration services, tool registries, and execution runtimes.
• Build APIs and microservices for LLM integration, prompt management, and agent lifecycle management.
• Implement observability, logging, and monitoring for agentic AI workflows.
• Write unit, integration, and end-to-end tests to ensure platform reliability.
• Collaborate with architects on system design and with ML engineers on model integration.
• Participate in on-call rotations and provide production support for the AI platform.
• Contribute to CI/CD pipelines, infrastructure as code (IaC), and deployment automation.
• Build reliable services around non-deterministic AI components.
• Apply software engineering best practices, including clean code, testing, code reviews, and production readiness.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed