Platform Engineer

Openkyber

Senior AI Platform Engineer An enterprise technology organization is seeking a Senior AI Platform Engineer to join its AI Engineering team in Fort Worth, TX . This is a 5-month contract opportunity supporting the development of enterprise-scale AI platforms and agent-based systems. The environment leverages Python, cloud-native technologies, Kubernetes, modern API architectures, and large language model integrations to support business-critical applications. This role offers the chance to work on a rapidly growing AI initiative focused on building reusable platform capabilities for intelligent applications. The team is looking for a software engineer who enjoys solving distributed systems challenges, building reliable backend services, and helping organizations adopt AI technologies responsibly and effectively. Engineers in this group gain exposure to modern AI architectures while continuing to deepen their expertise in cloud engineering and platform development. Required Skills & Experience:

5+ years of software engineering experience
Strong Python development skills
Experience building RESTful APIs and microservices
Working knowledge of Java, Go, or TypeScript
Experience with AWS and/or Azure
Hands-on Docker and Kubernetes experience
CI/CD pipeline implementation and support
Infrastructure-as-Code experience using Terraform, CloudFormation, or Pulumi
Experience integrating or supporting AI/LLM-powered applications
Automated testing experience including unit and integration testing

Desired Skills & Experience:

LangChain, LangGraph, or similar orchestration frameworks
Kafka or event-driven architecture experience
Vector database experience
Redis and caching solutions
FastAPI or Flask
Async Python development
OpenTelemetry
Datadog or Splunk
Agent evaluation frameworks
Travel, transportation, or airline industry experience

What You Will Be Doing:

Develop platform services supporting AI agents and intelligent workflows
Build and maintain APIs used for AI application integration
Create orchestration capabilities and execution frameworks
Improve platform monitoring, logging, tracing, and observability
Contribute to cloud infrastructure and deployment automation
Partner with machine learning and architecture teams
Write automated tests to improve reliability and production readiness
Support enterprise AI platforms in production environments

Tech Breakdown:

40% Python & Backend Engineering
25% Cloud Infrastructure & Platform Engineering
20% AI/LLM Integration
15% DevOps, Automation & Observability

Daily Responsibilities:

75% Hands-on Development
5% Leadership & Technical Guidance
20% Team Collaboration

Applicants must be currently authorized to work in the U.S. on a full-time basis now and in the future.

For applications and inquiries, contact:View email address on us.fitly.work

Apply

Vacancy posted 1 day ago

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