Senior AI Engineer (Applied)
Core
Design, evaluate, and deliver AI solutions for gaming and platform use cases, owning end-to-end workflows from experimentation to deployment.
Role type
Senior Applied AI Engineer (Gaming)
Builds
Scalable, observable AI services, reusable platforms, and GenAI-driven systems (RAG pipelines, agentic workflows) for gaming products.
Domain
Gaming industry + Applied Machine Learning / Generative AI
Deliverable
production ML models | product features
Required skills
Machine learning evaluation, experimentation, statistical reasoning, NLP, computer vision, generative AI, Python, software engineering, system design, latency optimization, cost optimization, benchmarking frameworks, RAG pipelines, agentic workflows, technical mentorship
Preferred skills
None stated
Technologies
Python, RAG, agentic workflows
Responsibilities
Design and execute evaluation/benchmarking frameworks for AI/ML systems; Architect and develop scalable AI services and reusable platforms; Design and build GenAI-driven systems; Drive best practices in experimentation and reproducibility; Partner with product managers to evaluate AI features; Lead technical exploration of emerging AI tools; Collaborate with engineering teams to integrate AI systems; Mentor junior engineers
Seniority
Senior, hands-on IC
