Gen AI Engineer

Capgemini • New York, NY

1d • $56,186 - $87,556 • Hybrid

About The Position

We are looking for a skilled Generative AI Developer to join our Controls Technology team and contribute to the development and integration of innovative generative AI solutions In this role you will work closely with senior developers AI architects and business stakeholders to deliver impactful AIdriven features and products.

Key Responsibilities
Implement and finetune generative AI models under the guidance of senior team membersContribute to prompt engineering and development of AIpowered workflowsAssist with the deployment monitoring and maintenance of AI models in production environmentsCollaborate with data scientists and engineers to ensure seamless integration of AI capabilitiesPerform data preprocessing feature engineering and API development for AI applicationsParticipate in code reviews testing and documentation to ensure quality and reliabilityStay updated with advancements in GenAI and share relevant learnings with the team

Required Technical SkillsHandson experience with at least one major machine learning framework PyTorch TensorFlow KerasFamiliarity with LLMs prompt engineering and finetuning eg LoRA QLoRAExposure to RAG systems and basic knowledge of hybrid search techniquesUnderstanding of model deployment and containerization DockerProficiency in Python for AI development data preprocessing and scriptingExperience with generative AI tools LangChain Hugging Face LlamaIndex is a plusUnderstanding of version control systems GitAwareness of AI compliance data privacy and responsible AI principles

Required Soft SkillsStrong teamwork and communication abilitiesWillingness to learn new AIML technologies and frameworksAnalytical mindset and attention to detailOpenness to feedback and continuous improvement

QualificationsBachelors degree or Masters degree in Computer Science Data Science AI or a related field3-5 years of professional experience in AIML development with exposure to Generative AIExperience delivering AIML projects in a collaborative settingExposure to cloud based AIML environments AWS GCP or Azure is a plus
The base compensation range for this role in the posted location is : $ 56186 - 87556
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

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.

Requirements

• Handson experience with at least one major machine learning framework PyTorch TensorFlow Keras
• Familiarity with LLMs prompt engineering and finetuning eg LoRA QLoRA
• Exposure to RAG systems and basic knowledge of hybrid search techniques
• Understanding of model deployment and containerization Docker
• Proficiency in Python for AI development data preprocessing and scripting
• Experience with generative AI tools LangChain Hugging Face LlamaIndex is a plus
• Understanding of version control systems Git
• Awareness of AI compliance data privacy and responsible AI principles
• Strong teamwork and communication abilities
• Willingness to learn new AIML technologies and frameworks
• Analytical mindset and attention to detail
• Openness to feedback and continuous improvement
• Bachelors degree or Masters degree in Computer Science Data Science AI or a related field
• 3-5 years of professional experience in AIML development with exposure to Generative AI
• Experience delivering AIML projects in a collaborative setting
• Exposure to cloud based AIML environments AWS GCP or Azure is a plus

Responsibilities

• Implement and finetune generative AI models under the guidance of senior team members
• Contribute to prompt engineering and development of AIpowered workflows
• Assist with the deployment monitoring and maintenance of AI models in production environments
• Collaborate with data scientists and engineers to ensure seamless integration of AI capabilities
• Perform data preprocessing feature engineering and API development for AI applications
• Participate in code reviews testing and documentation to ensure quality and reliability
• Stay updated with advancements in GenAI and share relevant learnings with the team

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level