AI Engineer
Core
Build next-generation applications using generative AI, LLMs, and agentic workflows to power intelligent solutions for millions of users.
Role type
Senior IC AI Engineer (Generative AI & LLMs)
Builds
Production-ready AI pipelines, autonomous AI agents, and conversational AI solutions
Domain
Video game and entertainment industry
Deliverable
production ML models
Required skills
Python, LLM ecosystem libraries (transformers, vLLM, PEFT/LoRA, DSPy), RESTful API development (FastAPI/Flask), LLM application development (Gemini, GPT-4, Claude), orchestration frameworks (LangChain, LlamaIndex), AI agentic frameworks (LangGraph, AutoGen, CrewAI), vector databases, RAG pipelines, cloud platforms (AWS, Azure, GCP), deep learning frameworks (TensorFlow, PyTorch)
Preferred skills
Advanced prompt engineering, fine-tuning LLMs for domain tasks, multimodal learning, LLMOps/MLOps practices, open-source contributions
Technologies
transformers, vLLM, accelerate, PEFT, LoRA, DSPy, FastAPI, Flask, LangChain, LlamaIndex, Google AI SDK, OpenAI SDK, N8N, LangGraph, AutoGen, CrewAI, Supabase, TensorFlow, PyTorch
Responsibilities
Design and deploy advanced AI solutions for generative capabilities and conversational AI; Build context-aware, autonomous AI agents; Collaborate with data engineers to preprocess and curate datasets; Experiment with ML algorithms and fine-tune foundation models; Build and deploy scalable AI pipelines; Analyze and optimize AI model performance; Stay updated with GenAI advancements and propose innovative solutions
Seniority
Mid-to-Senior, hands-on IC