Automation And Ai Engineer (Unity & Backend Technologies)

Univrse; Sevilla; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A dynamic gaming company in Spain is seeking an experienced Automation and AI Engineer to develop end-to-end solutions integrating Unity and backend technologies. The role involves designing and maintaining AI-driven tools, collaborating with experts, and utilizing cutting-edge technologies to enhance gaming experiences. Ideal candidates have extensive full-stack experience, proficiency in Unity, and a passion for AI in gaming.

Formación

• 5+ years of professional experience in full stack development, preferably in a gaming context.
• 1+ years in AI and Automation development.
• Proficiency in Unity (C#), creating game tools or features.

Responsabilidades

• Design, develop, and maintain front-end and back-end services for AI-driven tools.
• Build custom Unity editor tools to automate tasks.
• Develop and optimize server-side applications and microservices.

Conocimientos

Full stack development

AI and Automation development

Unity (C#)

Backend development (Java, C#, Python)

Database management (SQL, NoSQL)

RESTful APIs and microservices

DevOps & CI/CD practices

Software engineering best practices

Communication and teamwork

Herramientas

Docker

Jenkins

Descripción del empleo

Automation and AI Engineer (Unity & Backend Technologies)

As a Senior Software Automation Engineer on the Automation and AI team, you will be responsible for delivering end-to-end solutions that integrate seamlessly with our Unity-based gaming platforms and backend systems. Your work will directly influence our live game operations, player experiences, and the speed and quality of our production cycles. You will collaborate with designers, data scientists, QA teams, and other developers to conceptualize, build, and deploy cutting-edge tools and workflows that leverage the latest AI trends.

What We're Looking For

• Must-Have
• 5+ years of professional experience in full stack development, preferably within a gaming context.
• 1+ years of experience in AI and Automation development and implementation (e.g., G-RAG).
• Proficiency in Unity (C#), with experience creating editor tools, game modules, or liveops features.
• Strong back-end development experience with languages like Java, C#, Python, or Node.js, and frameworks such as ASP.NET, Django, or Express.
• Experience with databases (SQL and NoSQL) and designing RESTful APIs or microservices architectures, preferably with graph databases like 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, version control).
• Excellent communication and teamwork skills, with the ability to work cross-functionally in an agile environment.

Desired Requirements

• Nice-to-Have
• Experience with AI / ML frameworks (TensorFlow, PyTorch, OpenAI APIs) or integrating third-party AI services.
• Cloud platform experience (AWS, Azure, 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.

Duties

Key Responsibilities

• End-to-End Development: Design, develop, and maintain 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 and leverage Unity’s scripting APIs to integrate AI services.
• Backend & Infrastructure: Develop and optimize server-side applications and microservices, collaborating with DevOps on CI / CD pipelines.
• AI & Automation: Work with data scientists and AI specialists to integrate machine learning models and evaluate emerging AI tools.
• Quality Assurance & Testing: Implement automated testing strategies to ensure system reliability and use AI-driven QA approaches.
• Collaboration & Knowledge Sharing: Partner with developers, architects, and product managers, documenting designs and workflows.
• Continuous Improvement: Identify areas for optimization, stay updated on AI and gaming trends, and propose innovative solutions.

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