Full-stack Engineer (AI application focused) - China
Join thatgamecompany as a Full Stack Engineer to develop AI-driven solutions for enhancing player interaction in Sky.
Posted by employer 9 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
Deliver AI-driven solutions aligned with the Enterprise AI strategy for streamlining operations.
Requirements
- Experience
- 2+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
The Full Stack Engineer at thatgamecompany focuses on developing AI-driven solutions to enhance player interactions and streamline internal operations. Key skills include proficiency in TypeScript and Python, along with experience in agent frameworks and orchestration tools. This role is ideal for someone with a strong collaborative spirit and a background in automation and web application development, particularly those familiar with AI applications in gaming. The position emphasizes cross-functional teamwork and aims to foster a community around enterprise AI adoption.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from thatgamecompany's career page.
- thatgamecompany has 39 other open roles including Staff Systems Software Engineer, Game Engine Engineer , UI Technical Designer.
- 6527 active Python roles on Joblaze right now.
- 1940 active TypeScript roles on Joblaze right now.
- 137 active LangChain roles on Joblaze right now.
- Typical Python salary we track runs $125,000–$190,800 (median $160,000, across 3229 roles). See Python salary trends
Quick facts
- How much experience is required?
- At least 2 years of relevant experience for this Full-stack Engineer (AI application focused) - China role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Alibaba Qwen, CLIP, Dify, Google Gemini, LLAVA, LangChain.
- What seniority level is this role?
- thatgamecompany targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Full-stack Engineer (AI application focused) - China role at thatgamecompany.
From the original posting
Sky has an amazing and vibrant community of socially minded players, and we are tirelessly working on solutions to deepen player interaction and create lasting friendships. We are seeking an experienced Full Stack Engineer to deliver solutions for solving in-game and internal team challenges
Responsibilities
Work with the ITS team to deliver AI-driven solutions aligned with the Enterprise AI strategy for streamlining day-to-day operations
Design and manage the enterprise agentic-AI orchestration platform, keeping UX, security, and governance in mind.
Partner with Publishing, Infra, IT, Legal, and other functions to identify, prioritize, and ship high-value AI capabilities—agents, automations, copilots—from pilot to scale.
Build and nurture a cross-functional Community of Practice around enterprise AI adoption, including training and enablement.
Collaborate with fellow developers to plan, design, build, and unit-test applications.
Required Skills
Familiarity with agent frameworks (LangChain, Dify, n8n, etc.) and orchestration tools (LangGraph, Microsoft AutoGen, etc.).
Familiarity with knowledge-search tech: RAG, vector DBs, retrieval-augmented generation. Experience in LLM landscape such as Google Gemini, OpenAI ChatGPT, Alibaba Qwen—knowing model advantage, token limits, latency, and cost.
Experience in automation and web application development
2+ years of hands-on production experience with TypeScript, Python, or similar AI-related languages.
Experience with the Git version control system.
Thrive in a highly collaborative environment involving cross-functional and multi-disciplinary teams.
Strong initiative to find ways to improve solutions, systems, and processes.
Fluent in spoken English and Chinese.
Preferred Skills
Have game development experience.
Have image recognition & XR development experience Experience in mobile client and console platform development.
Experience designing and building enterprise AI applications for production use.
Experience optimizing token cost, such as caching, batching, and cutting the fluff. Knowing about multimodal and algorithms such as CLIP, LLAVA, VALL-E."
Knowledge of TRiSM (Trust, Risk, and Security Management) frameworks for AI.
We look forward to meeting you!