15 set - Pordenone
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Overview
In 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.
Responsabilità
- Develop 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 fondamentali
- Degree 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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