Senior Software Engineer – Agentic AI Platform

PTR Global; Fort Worth (TX); In loco; USD 83.000 - 90.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical insurance

Dental & Vision

Descrizione del lavoro

PTR Global is seeking a Sr Agentic AI Engineer to join the Fort Worth-area team. The role focuses on building the agentic AI platform, orchestration services, and robust APIs for LLM integration.

On-site collaboration Tue–Thu, with ongoing production support and CI/CD automation. The candidate should have 5+ years in software engineering, strong Python skills, and hands-on experience with cloud platforms, containers, and AI tooling.

Competenze

• 5+ years of software engineering experience with Python and at least one of Java/Go/TypeScript.
• Production REST/gRPC APIs and microservices experience.
• Cloud, containers, CI/CD, and infrastructure-as-code experience.

Mansioni

• Build and maintain core platform components powering AI systems.
• Develop orchestration services, tool registries, and execution runtimes.
• Create APIs/microservices for LLM integration and agent lifecycle management.
• Implement observability, tests, and monitoring for reliability.
• Contribute to CI/CD, IaC, and deployment automation; participate in on-call rotations.

Conoscenze

Python

Java/Go/TypeScript

REST APIs

CI/CD

LLM integration

Cloud platforms

Strumenti

AWS

Azure

Docker

Kubernetes

Terraform

Pulumi

Descrizione del lavoro

Job Title: Sr Agentic AI Engineer

Job Location: Fort Worth, TX 76155

Job Duration: 12+ Months Contract

Interview: F2F required

Job Description:

Responsibilities:

• 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 plus 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.

Describe a great candidate that you are looking for and what skills and experience they will have:

• A great candidate is a solid mid-level senior engineer who writes clean, testable code and has genuine curiosity about AI/ML systems.
• They do not need to be a deep ML expert, but they should understand how LLMs work, what agentic patterns look like, and how to build reliable services around non-deterministic components.
• They take ownership, write good tests, communicate clearly in code reviews, and are comfortable operating production systems.

Additional Details:

• Candidate must have 5 plus years of experience.
• Candidate must work onsite Tuesdays - Thursdays; virtually Mondays and Fridays.
• This assignment is ending on 12/31/2027

Pay Range: $60 - $65

The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.