About this role
Build and own scoped AI service features within the Mind.AI platform, delivering production-quality implementations such as chunking modules, guardrail model integrations, embedding pipelines and RAGAS metric jobs. Responsible for the full ML/AI lifecycle from experiment to production deployment, including RAG pipelines, AI safety and guardrails, memory/knowledge management, evaluation and platform engineering.
Skills for this role
RAG (Retrieval-Augmented Generation)Knowledge RetrievalDocument ingestionDocument indexingEmbeddingsVector databasesElasticsearchBM25Hybrid searchRe-rankingCross-encoder re-rankingCitation-based response generationPII detectionData protectionContent redactionPrompt injection detectionToxicity detectionMisuse detectionAutomated response quality evaluationMemory frameworksKnowledge managementKnowledge graphsNeo4jSummarisationAI evaluation metricsGolden datasetsBenchmarkingPythonFastAPIPydantic""SpaCy"