Experience with Node.js and proficienct in typescript.
Deep knowledge of LLM concepts (RAG, memory, embeddings, vector databases)
Experience with advanced embedding and retrieval techniques (late chunking, ColBERT, etc.)
Proficiency in prompt engineering and fine-tuning language models
Familiarity with NLP frameworks (TensorFlow, PyTorch, etc.)
Experience with building scalable backend systems and infrastructure services, including various optimizations (tokenization methods, maximizing context window, etc.)
Knowledge of load management and performance optimization
Experience with AWS cloud services including Lambda for serverless computing, S3 for object storage, DynamoDB/PostGres database management, and AWS CDK for infrastructure as code deployment
Experience with AI workflow orchestration tools (LangGraph, Dify, etc.)
Familiarity with low-code/no-code platforms for rapid prototyping
SOFT SKILLS
Strong problem-solving abilities
Excellent communication and collaboration skills
Passion for gaming and technology
Interest in crypto or meme coins is a plus
GOOD TO HAVE
Portfolio: Multiple LLM-powered projects showcasing your expertise