14 set - Varese
Reply
OverviewIn 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.
ResponsabilitàDevelop and deploy LLM-based solutions, including intelligent agents and chatbots
Design and implement RAG architectures to integrate knowledge bases with LLMs
Collaborate on AI/Generative AI solutions in cloud environments (Oracle, Azure, AWS)
Support deployment and monitoring of AI models on cloud infrastructure
Contribute to ETL/ELT pipelines and Data Warehouse models for AI supports
Collaborate with functional teams and stakeholders to gather requirements and define solutions
Contribute to technical documentation and team best practices
Requisiti fondamentaliDegree in Computer Science, Computer Engineering, Data Science, or related field
About 2 years of experience in AI/Data roles with strong AI focus
Knowledge of cloud environments and core AI/Generative AI concepts (LLMs, prompt engineering, AI agents)
Experience developing intelligent agents and chatbots
Knowledge of RAG architectures and LLM integration with knowledge bases
Solid foundation in data and Data Warehousing (ETL logic, data modeling, SQL)
Strong problem-solving and continuous learning mindset
Good English for international collaboration
Curiosity and staying up-to-date with AI tech
Team collaboration and clear communication with technical/business stakeholders
Autonomy and results-oriented mindset
LLMs and Generative AI concepts
Prompt engineering
AI agents and chatbots
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