Position: Sr. Engineer
Location: Fort Worth, Texas
Duration: Contract
Job Overview: As a Sr. Engineer, you will play a critical role in building and maintaining core platform components that power agentic AI systems. This position involves developing APIs, microservices, and orchestration services, as well as integrating AI/ML models into production systems. The ideal candidate will have a strong background in software engineering, cloud platforms, and AI/ML application development. This is a hybrid role requiring onsite work three days a week and virtual work for two days.
Responsibilities: - Develop and maintain agent orchestration services, tool registries, and execution runtimes.
- Build APIs and microservices for LLM integration, prompt management, and agent lifecycle management.
- Implement observability, logging, and monitoring for agentic workflows.
- Write comprehensive tests (unit, integration, end-to-end) to ensure platform reliability.
- Collaborate with architects on design decisions and ML engineers on model integration.
- Participate in on-call rotations for production support of the AI platform.
- Contribute to CI/CD pipelines, infrastructure-as-code, and deployment automation.
Qualifications: - 5+ years of software engineering experience with strong proficiency in Python and 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).
- Knowledge of vector databases and observability tools (Datadog, Splunk, OpenTelemetry).
- Familiarity with agent evaluation frameworks, FastAPI/Flask, async Python, and Redis/caching patterns.
- Experience in the airline or travel industry.
What Makes a Great Candidate? A great candidate is a solid mid-level to senior engineer who writes clean, testable code and has a genuine curiosity about AI/ML systems. While deep ML expertise is not required, the candidate should understand how LLMs work, recognize agentic patterns, and build reliable services around non-deterministic components. They take ownership, write good tests, communicate clearly in code reviews, and are comfortable operating production systems.
About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit ;br>
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Pay Range: $55 - $60
The specific compensation for this position will be determined by several 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 PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
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