{"schemaVersion":"jobsearcher.job.v1","id":"9cbc91cdfe325d889eec7121","url":"https://jobsearcher.com/jobs/9cbc91cdfe325d889eec7121","canonicalUrl":"https://jobsearcher.com/jobs/9cbc91cdfe325d889eec7121","title":"Software Engineer – Agentic AI Platform (Python, LLM, AWS)","description":"Job DescriptionJob Title: Software Engineer – Agentic AI PlatformMax Pay: $60/hr on C2CEligibility: USC, GC-EAD and H4-EAD (No H1B or GC)Location: Fort Worth, TX (Hybrid) (Locals only with recent TX projects)Durations: 6-12+ Months with possible extension and conversions.Airline experience(Required) Job Overview:We are seeking a Software Engineer to join the Agentic System Layer (ASL) team. This engineer will develop and maintain the core platform components that power American Airlines’ agentic AI systems. The ideal candidate is a strong mid-level to senior software engineer with excellent Python skills and experience building production APIs, microservices, and cloud-native applications. This role does not require a deep machine learning expert, but the candidate should understand LLM concepts, agentic AI patterns, and how to build reliable services around non-deterministic AI components.Required:Strong proficiency in Python.Working knowledge of at least one additional language: Java, Go, or TypeScript.Hands-on experience building production REST or gRPC APIs and microservices.Experience with AWS or Azure cloud platforms.Hands-on experience with Docker and Kubernetes.Experience building and maintaining CI/CD pipelines.Experience with infrastructure-as-code tools such as Terraform, CloudFormation, or Pulumi.Working experience with LLM integration, prompt engineering, or AI/ML application development.Familiarity with Lang Chain, Lang Graph, or similar AI orchestration frameworks.Strong understanding of software testing, production reliability, and operational support.Preferred:Experience with event-driven architectures using Kafka or AWS EventBridge.Experience with vector databases and semantic search solutions.Knowledge of agent evaluation and testing frameworks.Experience with observability tools such as Datadog, Splunk, or OpenTelemetry.Experience developing Python services using FastAPI or Flask.Knowledge of asynchronous Python programming.Experience with Redis and application caching patterns.Understanding of LLM behavior, agentic workflows, tool calling, and prompt management.Responsibilities:Develop and maintain agent orchestration services, tool registries, and execution runtimes.Build REST and gRPC APIs and microservices supporting LLM integration.Develop solutions for prompt management and agent lifecycle management.Integrate LLMs and AI/ML models into production applications.Implement logging, monitoring, tracing, and observability for agentic workflows.Write comprehensive unit, integration, and end-to-end tests to maintain platform reliability.Collaborate with architects on platform design and technical decisions.Work with machine learning engineers on model integration and deployment.Build and support scalable cloud-based applications using AWS or Azure.Contribute to CI/CD pipelines, infrastructure-as-code, and deployment automation.Participate in code reviews and maintain clean, testable, and well-documented code.Participate in on-call rotations and provide production support for the AI platform.Troubleshoot performance, reliability, and integration issues in production systems","company":"Fustis","rawCompany":"fustis","city":"Fort Worth","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-07T08:15:30.097Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer – Agentic AI Platform (Python, LLM, AWS)","description":"Job DescriptionJob Title: Software Engineer – Agentic AI PlatformMax Pay: $60/hr on C2CEligibility: USC, GC-EAD and H4-EAD (No H1B or GC)Location: Fort Worth, TX (Hybrid) (Locals only with recent TX projects)Durations: 6-12+ Months with possible extension and conversions.Airline experience(Required) Job Overview:We are seeking a Software Engineer to join the Agentic System Layer (ASL) team. This engineer will develop and maintain the core platform components that power American Airlines’ agentic AI systems. The ideal candidate is a strong mid-level to senior software engineer with excellent Python skills and experience building production APIs, microservices, and cloud-native applications. This role does not require a deep machine learning expert, but the candidate should understand LLM concepts, agentic AI patterns, and how to build reliable services around non-deterministic AI components.Required:Strong proficiency in Python.Working knowledge of at least one additional language: Java, Go, or TypeScript.Hands-on experience building production REST or gRPC APIs and microservices.Experience with AWS or Azure cloud platforms.Hands-on experience with Docker and Kubernetes.Experience building and maintaining CI/CD pipelines.Experience with infrastructure-as-code tools such as Terraform, CloudFormation, or Pulumi.Working experience with LLM integration, prompt engineering, or AI/ML application development.Familiarity with Lang Chain, Lang Graph, or similar AI orchestration frameworks.Strong understanding of software testing, production reliability, and operational support.Preferred:Experience with event-driven architectures using Kafka or AWS EventBridge.Experience with vector databases and semantic search solutions.Knowledge of agent evaluation and testing frameworks.Experience with observability tools such as Datadog, Splunk, or OpenTelemetry.Experience developing Python services using FastAPI or Flask.Knowledge of asynchronous Python programming.Experience with Redis and application caching patterns.Understanding of LLM behavior, agentic workflows, tool calling, and prompt management.Responsibilities:Develop and maintain agent orchestration services, tool registries, and execution runtimes.Build REST and gRPC APIs and microservices supporting LLM integration.Develop solutions for prompt management and agent lifecycle management.Integrate LLMs and AI/ML models into production applications.Implement logging, monitoring, tracing, and observability for agentic workflows.Write comprehensive unit, integration, and end-to-end tests to maintain platform reliability.Collaborate with architects on platform design and technical decisions.Work with machine learning engineers on model integration and deployment.Build and support scalable cloud-based applications using AWS or Azure.Contribute to CI/CD pipelines, infrastructure-as-code, and deployment automation.Participate in code reviews and maintain clean, testable, and well-documented code.Participate in on-call rotations and provide production support for the AI platform.Troubleshoot performance, reliability, and integration issues in production systems","datePosted":"2026-08-07T08:15:30.097Z","dateModified":"2026-08-07T08:15:30.097Z","hiringOrganization":{"@type":"Organization","name":"Fustis","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Fort Worth","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9cbc91cdfe325d889eec7121"},"url":"https://jobsearcher.com/jobs/9cbc91cdfe325d889eec7121"}}