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AI Software Engineer (Remote - US)

Jobgether

Salary not specified
Sep 24, 2025
Remote, US
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Callibrity is looking for an AI Software Engineer to lead by example, acting as both a subject matter expert and a hands-on engineer, while driving innovative AI-driven solutions. This role will work closely with clients and stakeholders to design and deliver impactful products that leverage the latest in cloud, AI, and machine learning technologies.

Requirements

  • Strong expertise in Python with production-level experience building APIs, ideally using FastAPI.
  • Hands-on experience with Azure AI services (Machine Learning, Cognitive Services, OpenAI).
  • Proven ability to deploy applications in Azure cloud environments.
  • Solid understanding of Docker, Kubernetes, and container orchestration.
  • Familiarity with CI/CD pipelines and infrastructure as code (Terraform or ARM templates a plus).
  • Preferred: experience with MLOps or data engineering, integrating ML workflows into production.
  • Preferred: familiarity with modern frontend frameworks (React) for full-stack contributions.

Responsibilities

  • Design and develop RESTful APIs in Python (FastAPI) to serve AI models and integrations.
  • Build intelligent features using Azure AI services, including Azure Machine Learning, Cognitive Services, and Azure OpenAI.
  • Deploy scalable applications on Azure Kubernetes Service (AKS) or Azure App Service.
  • Implement secure, maintainable, and testable cloud-based applications, following best practices in observability and reliability.
  • Set up CI/CD pipelines with GitHub Actions or Azure DevOps for efficient deployments.
  • Act as a trusted advisor to clients, providing technical leadership and strategic guidance.
  • Explore and evaluate emerging technologies across AI, ML, Cloud, and IoT.

Other

  • 5+ years of professional software engineering experience.
  • Partner with product owners, designers, and engineers to deliver end-to-end solutions.
  • Mentor and upskill peers and client teams, promoting Agile, DevOps, TDD, and CI/CD practices.
  • Communicate complex technical concepts clearly in both written and verbal formats.
  • Strong communication and collaboration skills, with the ability to explain complex ideas.