Location - Westlake TXJob 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.
