GenAI Developer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. JOB DESCRIPTION Must Have: Design and develop efficient maintainable and reusable Python scripts for data extraction transformation and loading ETL in GenAI application Demonstrate strong proficiency in the Python programming language Collaborate with cloud platforms eg AWS Azure GCP to build Generative AI GenAI applications Develop, Implement and maintain APIs to integrate GenAI models into applications and workflows Conduct research and experiments to explore innovative generative AI techniques such as AI agents hybrid RAG optimization and workflow orchestration Apply expertise in generative AI concepts including document storage chunking vector databases RAG implementation and basic finetuning methods Nice to Have: Champion DevOps and MLOps practices focusing on continuous integration deployment and AI model monitoring Previous experience leveraging tools like Docker Kubernetes and Git to build and manage AI pipelines Experience implementing monitoring and logging solutions to ensure the performance and reliability of AI models Collaboration experience with software engineering and operations teams for seamless AI model integration and deployment Possess familiarity with DevOps and MLOps methodologies emphasizing CICD processes and AI model lifecycle management The base compensation range for this role in the posted location is: 80,000 - 90,909. 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. 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. If you need assistance or accommodation, please reach out to your recruiting contact. 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. Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law [http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law] 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.

Design and develop Python scripts for ETL processes within Generative AI applications and integrate GenAI models into workflows via APIs. Conduct research on innovative techniques such as AI agents, hybrid RAG, and workflow orchestration.

Strong proficiency in Python and experience with cloud platforms like AWS, Azure, or GCP is required. Expertise in GenAI concepts including vector databases, RAG implementation, and MLOps practices is highly desired.

• Paid Time Off • Vacation • Company Paid Holidays • Personal Days • Sick Leave • Medical Coverage • Dental Coverage • Vision Coverage • Retirement Savings Plans • Life Insurance • Disability Insurance • Employee Assistance Programs

• Microsoft AzureSouhaitée
• KubernetesSouhaitée
• CI/CDSouhaitée
• DockerSouhaitée
• Amazon Web ServicesSouhaitée
• Google CloudSouhaitée
• GitSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• Generative AI
• ETL
• AWS
• Azure
• GCP
• API Development
• RAG
• Vector Databases
• Fine-tuning
• DevOps
• MLOps
• Docker
• Kubernetes
• Git
• CI/CD

• Software
• Technology
• Data & Analytics
• Engineering
• Consulting

Expérience minimale

2+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine