Junior AI Engineer

Capgemini; Santa Clara (CA); On-site; USD 48,000 - 95,000; Full time

Job summary

Capgemini Engineering is seeking a motivated Junior AI Engineer to support development and implementation of AI/ML and Generative AI solutions. You will build Python-based applications, APIs, and AI components while working with LLMs, embeddings, and vector databases.

The role involves data preparation, model evaluation, and integrating AI models into enterprise workflows. A strong foundation in Python, ML concepts, and basic SQL is expected, with bachelor-level education in

Qualifications

• Python and basic SQL proficiency.
• Fundamentals of Machine Learning, NLP, and Generative AI.
• Familiarity with LLMs and LangChain/LlamaIndex.
• Exposure to ML frameworks such as PyTorch or TensorFlow.
• Basic understanding of REST APIs, Git, cloud platforms, and software engineering practices.
• Strong analytical, problem-solving, and learning abilities.
• Bachelor’s degree in CS/AI/DS/Engineering or related field.

Responsibilities

• 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.

Skills

Python

SQL

ML fundamentals

NLP

Generative AI

LangChain & LlamaIndex

PyTorch / TensorFlow

REST APIs

Git

Cloud platforms

Software engineering practices

Analytical skills

Education

Bachelor’s degree in Computer Science, AI/ML, Data Science, Engineering, or related

Tools

PyTorch

TensorFlow

Git

Job description

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s mostinnovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as theyprovide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days arethe same.

Location: SFO Bay Area

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.

The base compensation range for this role in the posted location is $48,400 - $95,000/year.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Benefits

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.

In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice

Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.