AI Engineer

■ Mission "Lead the AI core features of umoren.ai and establish technical leadership in the LLMO space" We are looking for an engineer who deeply understands how LLMs collect, integrate, and generate answers from information, and can turn that insight into product. ■ Role You will design and develop umoren.ai's AI search analysis and optimization engine. Building on a deep understanding of LLM internals, you will create the technical foundation that ensures client content is correctly referenced and recommended by AI. ■ Responsibilities - Design and implement LLM / RAG architectures - Build and operate AI search analysis pipelines - Run the prompt design, evaluation, and improvement cycle - Analyze and optimize for the characteristics of different LLMs (GPT, Claude, Gemini, etc.) - Design and develop crawling and scraping infrastructure - Design data pipelines (collection → preprocessing → analysis → visualization) - Build benchmark infrastructure to quantitatively evaluate AI answer quality - Develop AI features for internal tools and client-facing dashboards ■ Why This Role Is Exciting 1. The front line of AI search Work in the position closest to uncovering how AI retrieves and recommends information, building globally rare expertise. 2. Direct product impact Your code becomes the core of the product, and you will experience both the engineering and the business growth. 3. A small, elite development team Broad discretion to drive everything from technology selection to architecture design.

- 2+ years of experience developing AI/ML applications in Python - Experience developing with LLM APIs (OpenAI, Anthropic, Google, etc.) - Experience designing and implementing RAG (Retrieval-Augmented Generation) - Hands-on prompt engineering experience

- Experience operating vector databases (Pinecone, Weaviate, pgvector, etc.) - Experience designing and building web crawlers / scrapers - Research or professional experience in NLP (natural language processing) - Knowledge of SEO or content marketing - Startup development experience

- Intellectually curious about new technology and committed to continuous learning - Motivated by deeply understanding how systems work and turning that into product - Able to iterate on hypotheses quickly