Software Engineer, Digital

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.

• →

  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.

• 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.

• 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.