25 set - Ascoli Piceno
Reply
pIn this role you will develop and deploy LLM-based solutions, including intelligent agents and conversational chatbots, to advance AI initiatives at Reply. You will design RAG architectures and integrate knowledge bases with language models, while deploying and monitoring AI services in cloud platforms. You collaborate with cross-functional and international teams on end-to-end AI and data engineering projects, contributing to ETL/ELT pipelines and data warehouse models to support AI solutions. This role offers the chance to shape AI-driven capabilities in a global consulting environment. /pulliDevelop and deploy LLM-based solutions, including intelligent agents and chatbots /liliDesign and implement RAG architectures to integrate knowledge bases with LLMs /liliCollaborate on AI/Generative AI solutions in cloud environments (Oracle, Azure, AWS)
/liliSupport deployment and monitoring of AI models on cloud infrastructure /liliContribute to ETL/ELT pipelines and Data Warehouse models for AI supports /liliCollaborate with functional teams and stakeholders to gather requirements and define solutions /liliContribute to technical documentation and team best practices /liliDegree in Computer Science, Computer Engineering, Data Science, or related field /liliAbout 2 years of experience in AI/Data roles with strong AI focus /liliKnowledge of cloud environments and core AI/Generative AI concepts (LLMs, prompt engineering, AI agents) /liliExperience developing intelligent agents and chatbots /liliKnowledge of RAG architectures and LLM integration with knowledge bases /liliSolid foundation in data and Data Warehousing (ETL logic, data modeling, SQL) /liliStrong problem-solving and continuous learning mindset /liliGood English for international collaboration /liliCuriosity and staying up-to-date with AI tech /liliTeam collaboration and clear communication with technical/business stakeholders /liliAutonomy and results-oriented mindset /liliLLMs and Generative AI concepts /liliAI agents and chatbots /li /ul #J-18808-Ljbffr
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