Software Engineer(Full Stack Python)

Dolphin Solutions Inc
Dallas, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, American Sign Language
Experience level
Senior

Job location

Dallas, United States of America

Tech stack

Java
API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Python
Redis
Software Engineering
Systems Integration
TypeScript
Workflow Management Systems
Datadog
Data Logging
Pulumi
Flask
Large Language Models
Grafana
Prompt Engineering
Caching
Cloudformation
FastAPI
Event Driven Architecture
Containerization
AI Platforms
Kubernetes
Deployment Automation
Kafka
Api Design
Terraform
Splunk
gRPC
Docker
Microservices

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.

Requirements

  • 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.

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