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# Junior AI Engineer

- **Company:** Capgemini
- **Location:** San Francisco, CA, United States
- **Experience:** Starter
- **Salary:** $48,400.0 - $96,800.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Integration Architecture, Cloud Computing, Code Review, Data Cleansing, Software Debugging, Python (Programming Language), Machine Learning, Natural Language Processing, Rapid Prototyping Process, Tensorflow, Standard Sql, Software Engineering, Enterprise Software Applications, Feature Engineering, Pytorch, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Git, Information Technology, Restful APIs
- **Published:** August 19, 2026
- **Apply:** https://www.capgemini.com/jobs/533300-en_US_SAPBTP/x/

## About the Role

* Python and basic SQL proficiency.
 * Fundamentals of Machine Learning, NLP, and Generative AI.
 * Familiarity with LLMs and frameworks such as LangChain/LlamaIndex is preferred.
 * Exposure to PyTorch, TensorFlow, or similar ML frameworks.
 * Basic understanding of REST APIs, Git, cloud platforms, and software engineering practices.
 * Strong analytical, problem-solving, and learning abilities.
 * Bachelor's degree in Computer Science, AI/ML, Data Science, Engineering, or a related discipline.

## Description

We are looking for a motivated Junior AI Engineer to support the development and implementation of AI/ML and Generative AI solutions. The ideal candidate should have strong programming fundamentals, an understanding of machine learning concepts, and enthusiasm for building production-ready AI applications.

Your Role:

 * Develop and test AI/ML and Generative AI solutions under guidance from senior engineers.
 * Build Python-based applications, APIs, and AI integration components.
 * Work with LLMs, prompt engineering, RAG, embeddings, and vector databases.
 * Assist with data preparation, feature engineering, model evaluation, and testing.
 * Integrate AI models/APIs into enterprise applications and workflows.
 * Participate in code reviews, debugging, documentation, and deployment activities.
 * Explore emerging AI technologies and contribute to rapid prototypes/PoCs.


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