Full Stack Python Engineer (Locals to Texas)

Dallas, TX, US • Posted 1 day ago • Updated 1 day ago
Contract Corp To Corp
Contract Independent
Contract W2
6 Months
No Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Python
  • Java
  • GO
  • API
  • AWS
  • Typescript

Summary

Job Title: Software Engineer(Full Stack Python)

Location: Dallas, TX (Locals only)

Duration: Long Term

 

Candidate need to attend the in-person interview at client location. Only local candidates.

 

Job description:

As a Software Engineer on the Agentic System Layer (ASL) team, you will build and maintain the core platform components that power American Airlines’ agentic AI systems. Day-to-day responsibilities include: developing and maintaining agent orchestration services, tool registries, and execution runtimes; building APIs and microservices for LLM integration, prompt management, and agent lifecycle management; implementing observability, logging, and monitoring for agentic workflows; writing comprehensive tests (unit, integration, end-to-end) for platform reliability; collaborating with architects on design decisions and with ML engineers on model integration; participating in on-call rotations for production support of the AI platform; contributing to CI/CD pipelines, infrastructure-as-code, and deployment automation.

 

Top 3 Mandatory Skills and Experience:

  • 5+ years software engineering experience with strong proficiency in Python, plus working knowledge of at least one of Java, Go, or TypeScript; hands-on experience building production REST/gRPC APIs and microservices.
  • Solid experience with cloud platforms (AWS or Azure preferred), containerization (Docker/Kubernetes), CI/CD pipelines, and infrastructure-as-code (Terraform, CloudFormation, or Pulumi).
  • Working experience with LLM integration patterns, prompt engineering, or AI/ML application development; familiarity with frameworks like LangChain, LangGraph, or similar orchestration tools.

 

Nice to Have Skills:

  • Experience with event-driven architectures (Kafka, EventBridge), vector databases, observability tools (Datadog, Splunk, OpenTelemetry), agent evaluation frameworks, FastAPI/Flask, async Python, Redis/caching patterns, airline or travel industry experience.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10427712
  • Position Id: 1248-12001-9175
  • Posted 1 day ago
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