freehire launches on Product Hunt on 26 August.

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Senior Full Stack AI Engineer

Summary

Build AI-driven features (recommendations, fraud detection, automation) and lead a team to ship scalable full-stack web apps for a game studio.

  • Lead the game development team by establishing coding standards, project architecture, and best practices.
  • Design clean, modular, and maintainable code that can be easily extended for future game features.
  • Review team members’ code and provide technical guidance and mentorship.
  • Research and perform Proof of Concepts (POC) on new technologies and development approaches.
  • Study competitors’ implementations and propose improvements to enhance game performance and user experience.
  • Implement modern web technologies such as Service Workers, caching strategies, asset optimization, and fast-loading mechanisms.
  • Collaborate closely with Game Designers, UI/UX Designers, Artists, Backend Developers, and QA throughout the development lifecycle.
  • Participate in technical planning, estimation, and sprint discussions.

Requirements

  • Design, develop, and deploy AI-powered solutions for user behaviour analysis, personalization, fraud detection, customer support automation, and operational intelligence.
  • Build AI agents, workflow automation, recommendation systems, and predictive analytics models.
  • Evaluate emerging AI technologies and recommend suitable solutions for business needs.

Full Stack Development

  • Develop scalable web applications, APIs, and microservices using modern frameworks and technologies.
  • Design and implement responsive frontend applications with excellent user experience.
  • Build backend services, integrations, and data processing pipelines.
  • Collaborate with Product, Design, Data, and Engineering teams throughout the software development lifecycle.

Data & Analytics

  • Design data models, ETL processes, and real-time analytics pipelines.
  • Work with large datasets to generate business insights and operational reporting.
  • Develop dashboards and monitoring tools for system.

Platform & DevOps

  • Implement CI/CD pipelines and cloud-native deployment strategies.
  • Optimize application performance, scalability, reliability, and security.
  • Monitor and troubleshoot production systems and AI services.

See also