AI Architect (LLM & Gen AI)

ALL JOBS AI Architect (LLM & Gen AI) Engineering Netanya Full-time Description Fetcherr is an AI-driven company specializing in deep learning, algorithmic trading, and large-scale data solutions. Our core technology, the Large Market Model (LMM), enables accurate demand forecasting and real-time, data-driven decision-making. Originally focused on the airline industry, Fetcherr is expanding its AI solutions across additional industries. As AI Architect (LLM & Gen AI), you will architect and build Fetcherr’s LLM-based virtual analyst platform from the ground up. This is a highly technical, hands-on role focused on LLM architecture, RAG pipelines, prompt engineering, vector databases, and reliability infrastructure. You’ll work with product, data, and engineering teams to design a powerful conversational analytics engine built on state-of-the-art LLM technologies. Responsibilities Architecture & System Design Architect end-to-end systems that combine: LLMs (commercial + open-source) Vector databases & embeddings Retrieval-augmented generation (RAG) Natural-language-to-SQL/query generation Visualization and analytics libraries Define the technical roadmap and system architecture for the LLM platform. Hands-On Technical Execution Build prototypes, run experiments, evaluate LLM providers (OpenAI, Claude, Gemini). Develop and optimize: Prompt engineering & chaining RAG pipelines Query translation engines Auto-generated dashboards and visual outputs Ensure scalability, observability, security, and cost efficiency. LLM Expertise & Innovation Lead research and experimentation for model selection, fine-tuning, context injection, and multi-agent tooling. Evaluate open-source vs. commercial LLMs and architect hybrid solutions. Define evaluation frameworks for accuracy, hallucinations, latency, and safety. Organizational LLM productivity evangelist  Lead the organizational adoption of AI tools for improving productivity and quality Cross-Functional Technical Leadership Work closely with product managers and customers to shape use cases. Provide technical mentorship to LLM engineers, backend developers, and data engineers. Be the internal expert and advocate for LLM technologies across Fetcherr. Requirements Deep knowledge of LLM system architecture: RAG, embeddings, vector search Prompt engineering & prompt chaining Data-to-text generation & visualization tools Python, backend systems, cloud infrastructure (GCP preferred) Experience with LLM frameworks (LangChain, LlamaIndex, Hugging Face). Experience with APIs like OpenAI, Anthropic Claude, Gemini, etc. Leadership & Product Thinking Experience delivering complex 0→1 AI systems. Ability to translate business needs into technical architectures. Strong communication skills for explaining LLM decisions and trade-offs. Nice to Have Experience with BI/analytics or natural language interfaces to data. Knowledge of multi-agent systems or tool-augmented LLMs. Background in airline, pricing, or financial domains. APPLY FOR THIS JOB   ALL JOBS