Full Stack AI Engineer

Bytescare

Bengaluru, Karnataka, India3h agovia LinkedIn

About the Role

Bytescare is building the future of brand protection with intelligent automation. This is a full-time, remote role for a Full Stack AI Engineer. The role involves designing, developing, and maintaining full-stack applications for brand protection and AI-driven automation platforms.

Key Responsibilities

  • Designing, developing, and maintaining full-stack applications.
  • Integrating AI models into scalable back-end services.
  • Building responsive and secure front-end interfaces.
  • Optimizing data pipelines for threat detection and verification.
  • Collaborating with cross-functional teams to translate product requirements into technical solutions.
  • Implementing best practices in software engineering.
  • Ensuring high performance, reliability, and security of production systems.
  • Monitoring system behavior.
  • Troubleshooting issues.
  • Continuously improving the tech stack to support new features and product enhancements.

Requirements & Tech Stack

  • Strong skills in Back-End Web Development, with experience building scalable and secure APIs and microservices.
  • Proficiency in Front-End Development and Cascading Style Sheets (CSS) for creating responsive, accessible, and user-friendly interfaces.
  • Experience in Software Development and Full-Stack Development, including working across the entire application lifecycle.
  • Hands-on experience integrating AI/ML models into production systems, including model deployment, monitoring, and optimization.
  • Solid understanding of databases, cloud platforms (e.g., AWS, GCP, or Azure), and containerization/orchestration tools (e.g., Docker, Kubernetes).
  • Knowledge of security best practices, especially in the context of brand protection, identity security, and fraud or threat detection.
  • Strong problem-solving abilities.
  • Attention to detail.
  • Ability to work independently in a remote, distributed team environment.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

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