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Tier-1 brand, metro location, and mid-level experience amplify competition despite niche GenAI needs.
Role demands deep GenAI, LLM, ML-infra and gaming spatial expertise, limiting cross-industry transferability.
Many explicit years and specialized ML infra, GenAI, and production requirements increase filtering strictness.
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Lead design and deployment of evaluation suites and reward models to quantify game quality and perform autonomous multi-agent playtesting for generated game code.
Fine-tune generative AI models integrating 3D mathematics, physics, and gaming engine architectures into real-time production systems.
Develop rapid-iteration generative models for 2D/3D asset creation and manage intelligent AI-driven playtesting frameworks to verify game logic and playability.
Bachelor’s degree or equivalent practical experience.
Minimum 5 years software development experience; includes 3 years with ML infrastructure and 1 year with GenAI techniques or related concepts.
Experience in software design, architecture, testing, maintenance, and product launch (at least 3 years testing/maintenance and 1 year design/architecture).
Preferred: Experience with deploying and optimizing generative AI models in high-throughput, low-latency production environments.
Strong expertise in generative AI applied to gaming, including knowledge of LLMs, Diffusion Models, and Foundation Gaming Language Models.
Experience bridging foundational research to production in real-time systems involving 2D/3D asset pipelines and autonomous agent frameworks.
Skills in developing evaluation harnesses using RLHF, telemetry, and multi-agent AI simulations to ensure game quality and physical logic validity.