Full Stack Engineer, GenAI

Activision Blizzard • Redmond, WA

1d • Hybrid

About The Position

Your Mission Our team is expanding to build practical, production-ready generative AI systems, and we are looking for a Full Stack Engineer to help turn emerging AI capabilities into scalable tools, services, and workflows. This role will report directly to the Senior Director of AI Strategy and collaborate closely with AI researchers, software engineers, product partners, and game studios. As a hands-on builder, you will contribute to high impact projects that apply the right mix of generative AI, traditional machine learning, and modern software engineering to support our studios and operational teams. This is an onsite/hybrid position. What you bring to the table Priorities can often change in a fast-paced environment like ours, so this role includes, but is not limited to, the following responsibilities:

Requirements

• Experience 5+ years of experience in data science or similar role.
• Strong proficiency in Python and JavaScript or TypeScript, with experience building backend services and frontend applications using modern frameworks.
• Experience developing and shipping full stack software in production environments, with a focus on reliability, performance, and maintainability.
• Experience integrating AI and machine learning systems into real world applications and workflows, including model inference, performance tradeoffs, and modern orchestration approaches such as tool calling, retrieval augmented systems, or protocols like Model Context Protocol.
• Hands-on experience with cloud infrastructure such as Azure, Google Cloud Platform, or similar environments, including deploying and operating services at scale.
• Working knowledge of machine learning fundamentals and applied AI techniques, including familiarity with deep learning approaches such as convolutional neural networks and generative models.
• Comfort working with servers, containerization, and modern infrastructure practices such as Docker, Kubernetes, and cloud managed services.
• Ability to operate in fast moving, ambiguous environments, balancing experimentation with delivery and iteration.
• Strong communication and collaboration skills, with the ability to work effectively with technical and non-technical partners.

Nice To Haves

• Experience with additional AI or ML techniques beyond language models, such as computer vision, multimodal systems, or 3D representations.
• Experience building internal tools, platforms, or developer-facing products.
• Experience with additional programming languages such as C or C++.
• Exposure to MLOps practices, monitoring, or operating machine learning systems in production.
• Familiarity with game development pipelines, creative tools, or studio workflows.
• Strong problem-solving mindset and adaptability to tackle complex challenges.
• Effective collaborator with the ability to build and maintain strong relationships across teams.
• Curiosity-driven approach to continuously learn and grow within the evolving AI landscape.

Responsibilities

• Design, build, and maintain full stack applications that integrate generative AI and traditional machine learning capabilities into real world products and workflows.
• Develop scalable backend services, APIs, and data pipelines that support AI powered systems from prototype through production.
• Build intuitive, responsive frontend experiences that enable teams and studios to effectively interact with AI driven tools.
• Rapidly prototype and iterate on new ideas to validate approaches, explore feasibility, and assess impact, then evolve successful concepts into reliable systems.
• Apply a range of AI and machine learning techniques, including generative models and more traditional approaches, selecting the right tools for each problem.
• Implement and integrate AI systems using emerging standards such as Model Context Protocol to enable flexible, modular, and interoperable AI driven workflows.
• Partner cross functionally with research, product, platform, security, and studio engineering teams to translate capabilities into practical, deployable solutions.
• Own systems end to end, including architecture, implementation, deployment, monitoring, and ongoing improvement.
• Contribute to shared platforms, tooling, and engineering best practices that accelerate AI adoption across the organization.
• Help ensure AI systems are reliable, performant, secure, and responsibly deployed in production environments.

Benefits

• We provide a suite of benefits that promote physical, emotional and financial well-being for ‘Every World’ - we’ve got our employees covered!
• Subject to eligibility requirements, the Company offers comprehensive benefits including: Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance; 401(k) with Company match, tuition reimbursement, charitable donation matching; Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave; Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others;
• If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance.
• Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company.
• You can learn more by visiting https://www.benefitsforeveryworld.com/.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed