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Software Engineer, Digital
Software Engineer, DigitalBrightstarAI • Miami, FL, United States
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Software Engineer, Digital

Software Engineer, Digital

BrightstarAI • Miami, FL, United States
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Role Summary

Brightstar.AI is an AI intervention company helping mid-level enterprises modernize IT foundations and embed AI into their operations. As a Technology Digital Developer , you'll be responsible for building and integrating digital solutions - from custom applications and automations to AI-powered tools - that enable transformation for our clients. This role is perfect for someone who enjoys hands-on development, problem-solving, and working at the intersection of IT systems and modern AI technologies.

What You'll Do

  • Design, develop, and deploy digital solutions (applications, automations, integrations, APIs) to support client transformation projects.
  • Work with cloud platforms (AWS, Azure, GCP) to build scalable and secure solutions.
  • Collaborate with analysts and solution architects to translate requirements into technical designs.
  • Integrate AI / ML capabilities into enterprise workflows and applications.
  • Support development of internal digital tools that improve Brightstar.AI operations.
  • Test, debug, and optimize applications for performance, usability, and reliability.
  • Document code, processes, and best practices for reuse and scalability.
  • Stay current on emerging tools, frameworks, and AI / automation platforms.

What You'll Need

  • Bachelor's degree in Computer Science, Software Engineering, or related field.
  • 2-5 years of experience in software / application development.
  • Proficiency in modern programming languages (e.g., Python, JavaScript / TypeScript, Java, or C#).
  • Experience with web and API development frameworks (e.g., React, Node.js, Django, .NET).
  • Familiarity with cloud platforms (AWS, Azure, or GCP).
  • Understanding of databases (SQL / NoSQL) and data integration.
  • Strong problem-solving skills and ability to translate business needs into technical solutions.
  • Nice-to-Haves

  • Exposure to AI / ML frameworks (TensorFlow, PyTorch, Hugging Face) or MLOps tools.
  • Experience with automation platforms (UiPath, Power Automate, Zapier).
  • Knowledge of DevOps practices (CI / CD, Docker, Kubernetes).
  • Familiarity with cybersecurity best practices in application development.
  • Prior experience in consulting, IT services, or working with mid-level enterprises.
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