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Unity Developer (Automation and AI Engineer)

Unity Developer (Automation and AI Engineer)

Innovecsbarcelona, España
Hace 26 días
Descripción del trabajo

We seek a skilled Android Developer to enhance our web presence and platform functionality.

ABOUT INNOVECS :

Innovecs is a global digital transformation tech company with a presence in the US, the UK, the EU, Israel, Australia, and Ukraine. Specializing in software solutions, the Innovecs team has experience in Supply Chain, Healthtech, Software & Hightech, and Gaming.

For the fifth year in a row, Innovecs is included in the Inc. 5000, the list of fastest-growing private companies in the US, and a ranking of the best global outsourcing service providers by IAOP. Recently, Innovecs was honored with the prestigious Global Good Awards for the Employee Engagement & Wellbeing, won gold at the Employer Brand Management Awards, and was included in the Global Top 100 Inspiring Workplaces Ranking.

Requirements : Must-Have

  • 5+ years of professional experience in full stack development, preferably within a gaming context.
  • 1+ years of professional experience in AI and Automation development and implementation on relevant practices ie : G-RAG,.
  • Proficiency in Unity (C#) with proven experience creating editor tools, game modules, or liveops features.
  • Strong back-end development experience with a modern language (e.g., Java, C#, Python, or Node.js) and frameworks (e.g., ASP.NET, Django, Express).
  • Experience with databases (SQL and / or NoSQL) and designing RESTful APIs or microservices architectures preferably Graph databases such as Neo4J.
  • Familiarity with DevOps & CI / CD practices and tools (Git, Docker, Jenkins, etc.).
  • Solid understanding of software engineering best practices (design patterns, code reviews, testing, and version control).
  • Excellent communication and teamwork skills, with the ability to work cross-functionally in an agile environment.

Nice-to-Have

  • Experience with AI / ML frameworks (TensorFlow, PyTorch, OpenAI APIs) or integrating third-party AI services.
  • Cloud platform experience (AWS, Azure, or GCP) including serverless computing, container orchestration (Kubernetes), and infrastructure as code.
  • Familiarity with gaming analytics, real-time multiplayer systems, or other liveops-related technologies.
  • Passion for gaming and a keen interest in the future of AI-driven game development.
  • Responsibilities : Key Responsibilities

    End-to-End Development

  • Design, develop, and maintain both front-end (Unity) and back-end services (APIs, microservices, databases) to support AI-driven tools and automation workflows.
  • Implement secure, scalable, and high-performance features that integrate with existing game codebases and infrastructure.
  • Unity Tooling & Integration

  • Build and maintain custom Unity editor tools to automate repetitive tasks (e.g., content creation workflows, build pipelines, performance checks).
  • Leverage Unity’s scripting APIs to integrate AI services and automate manual steps in the development and liveops processes.
  • Backend & Infrastructure

  • Develop and optimize server-side applications and microservices that power AI features, data processing, and real-time analytics.
  • Collaborate with DevOps on CI / CD pipelines to automate testing, deployment, and monitoring of AI-driven solutions.
  • AI & Automation

  • Work closely with data scientists and AI specialists to integrate machine learning models, autonomous agents, and other advanced AI techniques into Unity and backend systems.
  • Evaluate emerging AI tools and frameworks to determine feasibility, integration points, and ROI for the business.
  • Quality Assurance & Testing

  • Implement automated testing strategies (unit, integration, functional, regression) to ensure reliability and maintainability of new and existing systems.
  • Use AI-driven or goal-led QA approaches to enhance coverage and reduce manual testing overhead.
  • Collaboration & Knowledge Sharing

  • Partner with game developers, architects and product managers to identify challenges and opportunities for automation and AI application.
  • Document designs, workflows, and best practices for broader internal adoption.
  • Continuous Improvement

  • Proactively identify areas for optimization, new tools, or process enhancements.
  • Stay up-to-date with the latest AI, gaming, and automation trends to propose and implement innovative solutions.
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