> Markdown version of [/jobs/ext/4387192-artificial-intelligence-engineer](https://www.wearedevelopers.com/jobs/ext/4387192-artificial-intelligence-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).

---

# Artificial Intelligence Engineer

- **Company:** Alined Consulting Group, LLC
- **Location:** Raleigh, NC, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, Cloud Computing, Cloud Engineering, Computer Engineering, Open Source Technology, Software Deployment, Software Engineering, Large Language Models, Event Driven Architecture, Kubernetes, Information Technology, Machine Learning Operations, Docker, Microservices
- **Published:** October 8, 2026
- **Apply:** https://www.disabledperson.com/jobs/75890016-artificial-intelligence-engineer

## About the Role

* 8+ years of software engineering experience, including 3+ years leading AI-powered application development.
 * Bachelor's degree in Computer Science, Computer Engineering, or related field.
 * Proven experience developing, deploying, and scaling AI-powered applications (provide examples of integrations using open models or APIs).
 * Expertise in designing AI-first architectures, including microservices, event-driven systems, and real-time AI workflows.
 * Hands-on experience with LLMs, agentic AI models, and autonomous AI-driven workflows.
 * Strong skills in AI model deployment, cost optimization, and fine-tuning.
 * Deep understanding of security, compliance, and ethical considerations in AI development.

Additional Items of Interest:

 * Experience leading AI-first engineering transformations across teams.
 * Contributions to open-source AI projects or AI thought leadership.
 * Experience with agentic AI frameworks, composable AI solutions, and MLOps best practices.
 * Industry engagement through conferences, research initiatives, or AI-first development communities.
 * Cloud-native AI deployment experience (Docker, Kubernetes, cloud platforms).