# Python_AI_FullStack Engineer Source: https://realanalystjobs.com/job/python-ai-fullstack-engineer-capgemini-ec5a0082 Python_AI_FullStack Engineer at Capgemini, an on-site role based in Burlington, USA. Experience level: 6+ Years. First seen on RealAnalystJobs on 15 November 2026, read from Capgemini's own careers page (Capgemini), which RealAnalystJobs re-checks daily and removes the role when it closes. Capgemini has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role). Updated 15 November 2026. ## Key facts - Company: [Capgemini](https://realanalystjobs.com/companies/capgemini) - Location: Burlington, USA - Work mode: On-site - First seen: Nov 15, 2026 - Employment type: Full time - Experience level: 6+ Years - Source: Capgemini's careers page (Capgemini), re-checked daily Skills: [SQL](https://realanalystjobs.com/skills/sql), [Python](https://realanalystjobs.com/skills/python), AWS ## Visa sponsorship The posting does not say. Capgemini had H-1B petitions approved for 2,110 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/capgemini#h1b-record) ## About this role 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. Location - Westlake TX Job Description We are seeking an experienced Full Stack AI Engineer to join our growing technology team. The ideal candidate will have strong expertise in Python, Node.js, AI/ML technologies, AWS Cloud, and modern web application development. This role requires a hands-on engineer who can design, develop, and deploy scalable enterprise applications while providing technical leadership and mentoring to other engineers. Key Responsibilities • Design, develop, test, and maintain scalable enterprise-grade web applications and APIs using Python and Node.js. • Build and integrate AI-powered solutions, including NLP, semantic search, and machine learning capabilities. • Develop robust RESTful APIs and web services supporting business-critical applications. • Design and optimize data models, databases, and backend services using SQL and modern cloud-native architectures. • Deploy, monitor, and manage applications on AWS Cloud environments. • Implement containerized solutions using Docker and Kubernetes. • Automate infrastructure provisioning and deployment processes using Terraform. • Drive CI/CD best practices using tools such as Jenkins, GitHub Actions, or similar platforms. • Collaborate with product managers, architects, and cross-functional teams in an Agile Scrum environment. • Conduct code reviews, mentor team members, and promote engineering excellence. • Develop and execute unit tests, integration tests, and automated testing frameworks. • Leverage AI-assisted development tools such as GitHub Copilot, ChatGPT, and other productivity tools to improve development efficiency and code quality. • Participate in solution design discussions and contribute to architectural decision-making. Required Qualifications • Bachelor's degree in Computer Science, Engineering, or a related technical field. • 6+ years of full-stack software development experience building enterprise applications and APIs. • Strong proficiency in: Python, SQL, REST APIs and Microservices Architecture, AWS Cloud Services • Experience building and deploying AI/ML, NLP, and Search-based applications. • Hands-on experience with: Docker, Kubernetes,Terraform Jenkins or similar CI/CD tools • Experience working with web services such as REST, JSON, SOAP, and API integrations. • Strong understanding of source control and collaborative development using GitHub and pull request workflows. • Experience with test automation frameworks, unit testing, and quality engineering practices. • Proven ability to lead projects, mentor engineers, and drive technical initiatives. • Excellent communication, analytical, and problem-solving skills. The base compensation range for this role in the posted location is: 90000- 120000 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, genetic Description from Capgemini's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/python-ai-fullstack-engineer-capgemini-ec5a0082) and use Apply now there to reach the employer's application. The listing is re-checked against Capgemini's careers page daily and removed when it closes. ## Capgemini 222 open analyst roles on Real Analyst Jobs. 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