Senior Generative AI Engineer - Remote, AWS

agap2 Italia

Italia

In loco

EUR 90.000 - 120.000

Tempo pieno

14 giorni+

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Descrizione del lavoro

agap2 Italia is seeking a Senior AI Engineer to design, build, and deploy scalable AI systems in a fully remote setup across Europe. The role focuses on generative AI, large language models, and AWS-native architectures within a high-impact banking project.

You will work with an international team on production-ready AI solutions. The ideal candidate has 5+ years in AI/software engineering, expert Python skills, and hands-on experience with LangChain, LlamaIndex, Pandas, PySpark, and AWS

Competenze

  • 5+ years of proven AI/Software engineering experience in complex environments.
  • Hands-on experience deploying and fine-tuning LLMs (GPT-4o/o1/o3, AWS Bedrock).
  • Proficient in Python and AI orchestration libraries (LangChain, LlamaIndex) and data tools (Pandas, PySpark).
  • Deep AWS expertise in serverless architectures and services (App Runner, Lambda, S3, Glue, EventBridge).
  • Fluency in English (written and spoken).

Mansioni

  • Design, develop, and deploy scalable AI systems and model infrastructures on AWS.
  • Integrate GenAI models and orchestrate AI workflows across teams.
  • Build serverless event-driven architectures for AI orchestration.
  • Collaborate with international teams to deliver production-ready AI solutions for financial systems.

Conoscenze

AI Software engineering
Generative AI
Python
LangChain
LlamaIndex
Pandas
PySpark
AWS (Cloud)
English fluency

Strumenti

AWS App Runner
AWS Lambda
Amazon S3
AWS Glue
EventBridge

Descrizione del lavoro

agap2 Italia is seeking a Senior AI Engineer to design, build, and deploy scalable AI systems in a fully remote setup across Europe. The role focuses on generative AI, large language models, and AWS-native architectures within a high-impact banking project.

You will work with an international team on production-ready AI solutions. The ideal candidate has 5+ years in AI/software engineering, expert Python skills, and hands-on experience with LangChain, LlamaIndex, Pandas, PySpark, and AWS

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