Job Title: Gen AI Engineer (with Agentic AI Exposure)Location: Tampa, FL / New York, NYEmployment Type: Full-Time Job OverviewWe are seeking a highly skilled Gen AI Engineer with experience in Agentic AI systems to design, build, and deploy end-to-end AI/ML solutions. This role focuses on developing intelligent applications using Python and modern AI frameworks such as LangChain, PyTorch, and TensorFlow, with a strong emphasis on LLM-powered, autonomous, and scalable AI systems.The ideal candidate has hands-on experience delivering production-grade AI solutions—including generative AI applications, machine learning models, automation pipelines, and AI-driven integrations—while collaborating closely with cross-functional teams. Required Skills QualificationsStrong hands-on experience with Python for AI/ML and backend development.Proficiency in PyTorch, TensorFlow, or similar deep learning frameworks.Experience building LLM-based applications using LangChain and prompt orchestration frameworks.Knowledge of vector databases and embedding technologies such as FAISS, Chroma, Pinecone, or equivalents.Ability to design and implement end-to-end ML pipelines (training, validation, deployment).Strong understanding of machine learning fundamentals, NLP, and deep learning architectures.Experience with APIs, microservices, and cloud-based deployment environments.Excellent analytical, debugging, and problem-solving skills. Key ResponsibilitiesDesign, develop, and optimize machine learning and deep learning models using PyTorch, TensorFlow, and related frameworks.Implement and fine-tune NLP models and architectures for real-world applications.Build and deploy LLM-powered applications using LangChain, embeddings, vector databases, and prompt orchestration techniques.Develop agentic AI workflows, including multi-step reasoning, tool calling, memory, and autonomous task execution.Develop scalable backend services, APIs, and automation tools using Python.Integrate AI models into enterprise applications and workflows.Prepare, transform, and manage large datasets for training and inference.Build feature engineering pipelines, model training workflows, and evaluation pipelines.sDeploy models into production environments using REST APIs, Docker, CI/CD, and cloud platforms.Monitor model performance, reliability, and scalability in production.Perform model evaluation, tuning, and performance optimization to ensure accuracy, efficiency, and robustness.Implement feedback loops for continuous improvement of AI systems.Partner with product managers, engineers, and business stakeholders to translate requirements into AI-driven technical solutions.Provide technical guidance and AI expertise throughout the development lifecycle.Stay up to date with emerging AI, generative AI, and agentic frameworks.Prototype and evaluate new tools, techniques, and architectures to drive innovation. Preferred QualificationsExposure to or hands-on experience with Agentic AI systems (autonomous agents, tool usage, memory, multi-agent workflows).Experience with cloud platforms (AWS, Azure, or GCP).Familiarity with MLOps tools and best practices.Background in scalable, production-grade AI systems.The base compensation range for this role in the posted location is: $96000 - $115000Capgemini 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 LeaveMedical, 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 insuranceEmployee assistance programsOther benefits as provided by local policy and eligibilityImportant 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. DisclaimersCapgemini 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.