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Strong employer brand, mid-level AI role, metro location, and 5+ years expectation increase competition.
Agentic AI specialization is niche but ML engineering skills remain moderately transferable across industries.
Explicit years, seniority, and many mandatory technical AI and production skills make shortlisting highly strict.
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Lead design, development, and deployment of advanced AI systems for conversational analytics, automation, and immersive in-game experiences.
Architect and implement scalable AI solutions integrated into real-time systems and production pipelines, including autonomous agents and AI model context management.
Drive AI innovation, guide engineering teams, and manage AI infrastructure including deployment workflows and system observability.
5+ years professional experience in backend or full-stack development with Python, including 2+ years in a senior AI engineering role.
Hands-on experience with agentic AI technologies and building scalable APIs (e.g., FastAPI, Flask).
At least 1 year of cloud-native development experience in AWS, GCP, or similar plus containerization using Docker.
Strong software engineering practices including CI/CD, Git workflows, testing, and knowledge of distributed systems, microservices, and both SQL and NoSQL databases.
Experienced AI engineer with a strong product ownership mindset, capable of translating strategic goals into technical solutions for gaming environments.
Capable of leading cross-disciplinary teams and influencing product vision through technical communication and mentoring.
Proficient in scalable system design and performance tuning within cloud infrastructure, with exposure to MLOps or reinforcement learning as a plus.