> Markdown version of [/jobs/ext/2028898-ai-platform-engineer](https://www.wearedevelopers.com/jobs/ext/2028898-ai-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI Platform Engineer

- **Company:** Motion Recruitment Partners LLC.
- **Location:** Fort Worth, TX, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Unit Testing, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, DevOps, Distributed Systems, Python (Programming Language), Machine Learning, Redis, Software Engineering, Systems Integration, TypeScript, Datadog, Data Logging, Pulumi, Flask (Web Framework), Large Language Models, Backend, Cloudformation, Fastapi, Event Driven Architecture, AI Platforms, Kubernetes, Deployment Automation, Apache Kafka, Restful APIs, Terraform, Splunk, Docker, Microservices
- **Published:** August 11, 2026
- **Apply:** https://www.dice.com/job-detail/0f2c8cbf-939f-464d-afc2-2692465a0e5d

## About the Role

* 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

## Description

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, * 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


## Related Videos

- [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis)
- [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js)
- [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker)
- [Building a Multi-Agent Orchestration Engine That Actually Follows the Rules](https://www.wearedevelopers.com/videos/100159-building-a-multi-agent-orchestration-engine-that-actually-follows-the-rules)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)
- [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)