Overseas Contractor
Job in
Dallas, Dallas County, Texas, 75201, USA
Listed on 2026-05-31
Listing for:
LTIMindtree
Contract
position Listed on 2026-05-31
Job specializations:
-
Software Development
Cloud Engineer - Software, AI Engineer, DevOps, Software Engineer
Job Description & How to Apply Below
Location - fortworth, TX<
This is a Hybrid role and there will be in-person client interview if shortlisted<
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:
1) 5+ years software engineering experience with strong proficiency in Python, plus working knowledge of at least one of Java, Go, or Type Script; hands-on experience building production REST/gRPC APIs and microservices.
2) Solid experience with cloud platforms (AWS or Azure preferred), containerization (Docker/Kubernetes), CI/CD pipelines, and infrastructure-as-code (Terraform, Cloud Formation, or Pulumi).
3)
Working experience with LLM integration patterns, prompt engineering, or AI/ML application development; familiarity with frameworks like Lang Chain, Lang Graph, or similar orchestration tools. Nice to Have
Skills:
Experience with event-driven architectures (Kafka, Event Bridge), vector databases, observability tools (Datadog, Splunk, Open Telemetry), agent evaluation frameworks, FastAPI/Flask, async Python, Redis/caching patterns, airline or travel industry experience. What Makes a Great Candidate?: A great candidate is a solid mid-level to 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. Â Â Dallas - Texas - USA4 - 6 Years
10R Dallas - Texas - USA
05-May-2026
NACTIVE
1460089 Mandatory Skills :
Prompt Engineering & RAG, Python API (for Langchain / Llamaindex), SOA and Microservices Based Architecture
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