AI Full-Stack Engineer
Core
Build end-to-end internal AI tools (data collection, LLM logic, backend, UI, deployment) for Genesis ecosystem teams to automate creative analysis, content generation, and business metric prediction.
Role type
Senior AI Full-Stack Engineer (ML/LLM focus)
Builds
Internal AI products, data pipelines, and predictive models for the Genesis ecosystem
Domain
AI/ML, Generative AI, Data Engineering, SaaS
Deliverable
production ML models
Required skills
Full-stack development, LLM integration (OpenAI, LangChain, LlamaIndex), Prompt engineering, Data scraping, NLP, Clustering, Predictive modeling, AI coding assistants (Cursor, Claude Code), System design, Database structures
Preferred skills
Predictive ML models (XGBoost, LightGBM), Open-source model optimization (LoRA), Product building from scratch (micro-SaaS, bots)
Technologies
OpenAI, Anthropic, Midjourney, ClickHouse, LangGraph, XGBoost, LightGBM
Responsibilities
Build AI tools end-to-end from data collection to deployment; Configure reliable data collection systems via scraping and API integrations; Automate data processing (clustering, NLP, trend monitoring); Develop cost-effective pipelines for generating ideas, text, images, and video; Build predictive models for business metrics (e.g., CPA); Finalize prototypes into production-ready tools
Seniority
Senior, hands-on IC
