If you’re looking to start or grow your career in artificial intelligence, this Jr AI Engineer opportunity at Capgemini in San Francisco could be a strong fit. The role offers an opportunity to work with AI technologies, collaborate with experienced engineering teams, and contribute to technology-driven solutions. Capgemini’s engineering and technology teams work across areas including AI, generative AI, cloud, and data.
Job Overview
| Field | Details |
|---|---|
| Company Name | Capgemini |
| Role | Jr AI Engineer |
| Qualification | Bachelor’s degree or relevant technical education in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field |
| Job Location | San Francisco, California, USA |
| Salary | $48,400–$96,800 per year |
| Work Type | On-site |
| Job Type | Full-time |
| Job Level | Junior / Entry Level |
| Industry | Information Technology & Consulting |
Job 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.
Your Skills and Experience:
- 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.
Selection Process
- Submit your online application and resume.
- Application and qualification screening by the Capgemini recruitment team.
- Initial recruiter or HR discussion.
- Technical interview covering AI/ML, programming, and relevant technical skills.
- Additional technical or team interview, if required.
- Final selection and compensation discussion.
- Background and employment checks, where applicable.
- Receive the final offer and complete the onboarding process.
How to Apply
- Visit the official Capgemini careers website. Capgemini Careers
- Search for “Jr AI Engineer” and select the San Francisco, California location.
- Review the complete job description and eligibility requirements.
- Click the Apply option.
- Create or sign in to your Capgemini careers account.
- Upload your updated resume and provide the requested information.
- Submit your application and monitor your application status for further communication.
