knowmad mood is a leading digital transformation company seeking a Senior AI Engineer to help transform data into business solutions for a high-profile aviation sector project. You will design and develop GenAI capabilities for our applications, architect systems based on RAG, semantic search, agents, tool calling and AI workflows, and select the most suitable models considering accuracy, latency, cost, security and integration. You will integrate commercial models into the solution, design prompts, system instructions, tools, memory and context management, and develop components for classification, entity extraction, summarization, correlation and contextualization. You will build processes to analyze unstructured information from internal systems, documentation, APIs, websites, feeds, forums and channels; implement semantic search and information retrieval with augmented generation using contextual signals; design chunking, embeddings, indexing, reranking and evidence retrieval. You will create agents and workflows capable of using tools, querying sources, performing validations and generating traceable results. You will develop rules to identify threats, relate them to assets and reduce false positives; analyze vulnerabilities, software dependencies, repositories and exposure of potentially vulnerable functions; enrich vulnerabilities with CVE context and business criticality. You will design evaluation pipelines to measure accuracy, relevance, consistency, coverage and security; create evaluation datasets and test cases, and implement comparisons between models, prompts

knowmad mood is a leading digital transformation company seeking a Senior AI Engineer to help transform data into business solutions for a high-profile aviation sector project. You will design and develop GenAI capabilities for our applications, architect systems based on RAG, semantic search, agents, tool calling and AI workflows, and select the most suitable models considering accuracy, latency, cost, security and integration. You will integrate commercial models into the solution, design prompts, system instructions, tools, memory and context management, and develop components for classification, entity extraction, summarization, correlation and contextualization. You will build processes to analyze unstructured information from internal systems, documentation, APIs, websites, feeds, forums and channels; implement semantic search and information retrieval with augmented generation using contextual signals; design chunking, embeddings, indexing, reranking and evidence retrieval. You will create agents and workflows capable of using tools, querying sources, performing validations and generating traceable results. You will develop rules to identify threats, relate them to assets and reduce false positives; analyze vulnerabilities, software dependencies, repositories and exposure of potentially vulnerable functions; enrich vulnerabilities with CVE context and business criticality. You will design evaluation pipelines to measure accuracy, relevance, consistency, coverage and security; create evaluation datasets and test cases, and implement comparisons between models, prompts