Technical Lead - AI Specialist / Automation Engineer

At Aristocrat, were on a mission to bring happiness to life through the power of play. We believe our innovative and inclusive culture drives our success. Were committed to making a positive impact in the gaming industry. As a Technical Lead - AI Specialist / Automation Engineer, youll have the chance to develop the future of our AI-based tools and platforms. You will make a significant impact within our engineering, creative, and quality assurance teams. This is an outstanding opportunity for someone passionate about using modern technologies to improve our workflows and deliver world-class gaming experiences. Join our ambitious team and help us continue to raise the standard in responsible gameplay and sustainability!

What Youll Do

• Cross-Functional AI Tooling: Partner with Dev, Creative, and QA leads to identify operational bottlenecks and engineer tailored AI solutions.
• Build and prioritize custom graphics tools to capture and multiply both static and animated art assets. These tools ensure they closely match our studios outstanding art style.
• Architecture & Development: Build, test, and deploy internal AI applications, custom web portals, and Slack/Teams bots using modern LLM APIs.
• Workflow Automation: Build end-to-end automated pipelines connecting software systems like Jira, GitHub, and CMS using orchestration frameworks.
• Prompt Engineering & Fine-Tuning: Develop, evaluate, and optimize complex system prompts and workflows for high-quality outputs.
• Evaluation & Maintenance: Monitor tool performance, manage API cost optimization, mitigate model hallucination, and ensure strict data privacy and security compliance.

Domain-Specific Impact Areas

• For Dev & Math Teams: Automate tasks such as summarizing technical documentation, generating boilerplate code, and AI-assisted code reviews. Develop specialized AI tools to assist with complex math tooling and game balancing.
• For Creative Teams: Build asset-generation pipelines, automated game rules generation, and tools to generate themes that help Artists/Animators scale content securely.
• For QA Teams: Build agents that parse acceptance criteria to generate comprehensive test cases, automate synthetic test data generation, generate submission documents, and categorize bug reports.

What Were Looking For

• Experience: 5+ years in software engineering, with at least 1.5+ years of hands-on experience building production-grade AI/LLM applications.
• Specialized Expertise: Strong experience with art and animation pipelines is highly favorable.
• Programming: Proficiency in Python or TypeScript/Node.js.
• AI Ecosystem: Deep familiarity with LLM APIs, orchestration frameworks, and Vector Databases.
• Integrations: Proven track record of working with REST APIs, webhooks, and SDKs for various platforms like GitHub, Jira, Figma, Adobe, Slack, and Teams.

Soft Skills & Approach

• Product Approach: Ability to interview internal users, translate their difficulties into technical requirements, and build intuitive UX/UI.
• Ambiguity Champion: Comfortable working in a rapidly shifting AI landscape, evaluating new frameworks, and picking the right tool for the job.

Qualification

• Education: Computer Science Education (B.Tech/BE/MCA).

Философия на възнаграждението

Предлагаме цялостен пакет от възнаграждения и придобивки, създаден да остане конкурентен на пазара, да подкрепя вашето благосъстояние и да признава приноса ви към нашия успех. Нашият подход се основава на принципа за възнаграждение според представянето, като насърчава и възнаграждава индивидуалния принос. Конкретният ви пакет на възнаграждение ще бъде определен въз основа на фактори като умения, опит, квалификации и местоположение.

В зависимост от вашата роля и местоположение може да имате право на годишни бонуси и стимули, придобивки за здраве и благосъстояние, платен отпуск, пенсионни планове, застрахователно покритие и други местни или законово установени придобивки.

Конкретни подробности относно възнаграждението и придобивките за тази позиция ще бъдат обсъдени по време на процеса на подбор.