Electronic Arts

Electronic Arts Inc. is a global leader in interactive entertainment. We develop games, content and online services 
 across platforms. We have a broad portfolio of brands that span the most popular genres. 
  
 We exist to Inspire the World to Play. We create extraordinary new game experiences for our millions of players everywhere by bringing together experienced people that combine creativity, innovation, and passion. We're looking for people to come to the office excited to work and ready for some fun.

The AI Engineer will report to Sr Manager responsible for Data & Insights.  
  
 Join us in driving the next revolution in games. 
  
 Key Responsibilities:  
  
 • Research, fine-tune, and integrate Large Language Models (LLMs) such as GPT, Llama, Claude, etc. 
 • Design and build GenAI-powered applications for text, code, or multimodal tasks. 
 • Develop and deploy RAG (Retrieval-Augmented Generation) pipelines using vector databases. 
 • Collaborate with product, engineering, and UX teams to build scalable GenAI use cases. 
 • Ensure responsible AI practices by addressing bias, hallucinator, and privacy issues. 
 • Evaluate and optimize model performance, cost, and latency for production-grade systems. 
 • Keep up to date with the rapidly evolving GenAI ecosystem (APIs, open-source models, frameworks). 
・ Conduct AI experimentation for task automation using tools like Lang Chain, AutoGen, or ReAct. 
  
  
 Minimum Qualification:   
  
 - Bachelor’s or master’s degree in computer science, Data Science, AI, or related field. 
 - 5+ years' experience in a similar role. 
 - Solid understanding of NLP, deep learning, and transformer-based architecture. 
 - Experience with GenAI frameworks like LangChain, LlamaIndex, Haystack, or Hugging Face. 
 - Strong Python coding skills and familiarity with REST APIs and orchestraWon tools. 
 - Familiarity with LLMOps tools (e.g., Weights & Biases, PromptLayer, BentoML) is a plus. 
 - Knowledge of prompt engineering, fine-tuning (LoRA, PEFT), and safety alignment techniques. 
 - Excellent problem-solving, communication, and cross-functional collaboration skills.