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AI Software Engineer – Intern

Nokia
Louisa, USA
Full-time
Intern
Hybrid
Discovered 4 days ago
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Free

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Responsibilities

  • Contribute to AI Application Development
  • Participate in the development of applications and services leveraging Large Language Models and Generative AI.
  • Build prototypes to explore and validate new AI use cases.
  • Experiment with different models and prompting approaches.
  • Integrate AI models into applications using APIs and SDKs.
  • Contribute to solutions using internal documents and enterprise data.
  • Participate in the development of Retrieval-Augmented Generation (RAG) solutions.
  • Help test and improve existing AI applications.
  • Develop Software
  • Develop scripts and application components primarily using Python and/or C#/.NET.
  • Contribute to backend services and APIs.
  • Work with databases and other data sources when required by the project.
  • Learn how AI capabilities are integrated into existing enterprise applications.
  • Write understandable, maintainable and documented code.
  • Investigate technical issues with support from experienced engineers.
  • Learn and Experiment with Generative AI
  • Gain practical experience with Microsoft Azure AI services and Azure AI Foundry.
  • Learn how Large Language Models work from an application developer's perspective.
  • Develop an understanding of concepts such as prompts, tokens, context windows, embeddings and vector search.
  • Experiment with RAG and other approaches for providing enterprise knowledge to AI models.
  • Compare different AI models and approaches.
  • Learn to consider quality, reliability, latency and cost when using AI services.
  • Explore emerging AI technologies and evaluate their potential for practical use cases.
  • Collaborate with the Team
  • Work with experienced software engineers and technical experts.
  • Participate in technical discussions and project activities.
  • Document experiments, technical findings and developed solutions.
  • Present results and explain technical choices clearly.
  • Share ideas and contribute to the exploration of new AI use cases.
  • Gradually take ownership of development tasks as your skills and experience grow.
  • Contribute to AI Application Development - Participate in the development of applications and services leveraging Large Language Models and Generative AI. - Build prototypes to explore and validate new AI use cases. - Experiment with different models and prompting approaches. - Integrate AI models into applications using APIs and SDKs. - Contribute to solutions using internal documents and enterprise data. - Participate in the development of Retrieval-Augmented Generation (RAG) solutions. Help test and improve existing AI applications. Develop Software - Develop scripts and application components primarily using Python and/or C#/.NET. - Contribute to backend services and APIs. - Work with databases and other data sources when required by the project. - Learn how AI capabilities are integrated into existing enterprise applications. - Write understandable, maintainable and documented code. Investigate technical issues with support from experienced engineers. Learn and Experiment with Generative AI - Gain practical experience with Microsoft Azure AI services and Azure AI Foundry. - Learn how Large Language Models work from an application developer's perspective. - Develop an understanding of concepts such as prompts, tokens, context windows, embeddings and vector search. - Experiment with RAG and other approaches for providing enterprise knowledge to AI models. - Compare different AI models and approaches. - Learn to consider quality, reliability, latency and cost when using AI services. Explore emerging AI technologies and evaluate their potential for practical use cases. Collaborate with the Team - Work with experienced software engineers and technical experts. - Participate in technical discussions and project activities. - Document experiments, technical findings and developed solutions. - Present results and explain technical choices clearly. - Share ideas and contribute to the exploration of new AI use cases. - Gradually take ownership of development tasks as your skills and experience grow.

Qualifications

  • You have:
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence or a related technical field.
  • Good programming fundamentals.
  • Practical programming experience with Python, C#, Java or another modern programming language, acquired through university projects, personal projects, internships or professional experience.
  • Basic understanding of software development concepts.
  • Interest in Artificial Intelligence, Generative AI and Large Language Models.
  • Basic understanding of APIs and how software applications communicate with external services.
  • Ability to investigate technical problems and learn independently.
  • Curiosity and willingness to experiment with new technologies.
  • Good communication and collaboration skills.
  • Good working proficiency in English.
  • Academic projects, personal projects and open-source contributions are considered relevant experience.
  • Nice if you have:
  • While not required, the following skills and experiences would be considered an advantage. We do not expect candidates to possess all of these qualifications:
  • Experience with Python for AI-related projects.
  • Knowledge of C#/.NET or ASP.NET Core.
  • Previous experience using an LLM API or AI SDK.
  • Personal or academic projects involving Generative AI.
  • Familiarity with Microsoft Azure or another cloud platform.
  • Basic understanding of RAG, embeddings or vector search.
  • Experience with SQL or relational databases.
  • Experience developing REST APIs or backend applications.
  • Familiarity with Git or another version-control system.
  • Knowledge of Machine Learning fundamentals.
  • Experience with AI-assisted development tools.
  • Fluency in Italian
  • You have: - Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence or a related technical field. - Good programming fundamentals. - Practical programming experience with Python, C#, Java or another modern programming language, acquired through university projects, personal projects, internships or professional experience. - Basic understanding of software development concepts. - Interest in Artificial Intelligence, Generative AI and Large Language Models. - Basic understanding of APIs and how software applications communicate with external services. - Ability to investigate technical problems and learn independently. - Curiosity and willingness to experiment with new technologies. - Good communication and collaboration skills. - Good working proficiency in English. - Academic projects, personal projects and open-source contributions are considered relevant experience. Nice if you have: While not required, the following skills and experiences would be considered an advantage. We do not expect candidates to possess all of these qualifications: - Experience with Python for AI-related projects. - Knowledge of C#/.NET or ASP.NET Core. - Previous experience using an LLM API or AI SDK. - Personal or academic projects involving Generative AI. - Familiarity with Microsoft Azure or another cloud platform. - Basic understanding of RAG, embeddings or vector search. - Experience with SQL or relational databases. - Experience developing REST APIs or backend applications. - Familiarity with Git or another version-control system. - Knowledge of Machine Learning fundamentals. - Experience with AI-assisted development tools. - Fluency in Italian

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