Python AI FullStack Engineer

Capgemini•New York, NY
•$80,420 - $106,050•Hybrid

About The Position

Capgemini is hiring a Python AI FullStack Engineer to build enterprise APIs and web applications using Python, AI, SQL, NodeJS, AWS, NLP, and Search ML. The role is based in Burlington, Massachusetts, and is onsite on day one with a hybrid work arrangement. The engineer will work in an Agile Scrum environment, contribute to testing and automated deployments, and use AI-assisted development tools to improve productivity and code quality.

Requirements

  • At least 6 years of full-stack software development experience building enterprise APIs and web applications.
  • Experience with Python, AI, SQL, NodeJS, AWS, NLP, and Search ML.
  • Experience working in an Agile Scrum development environment.
  • Experience with unit testing and test automation libraries or strategies.
  • Experience using AI-assisted development tools such as GitHub Copilot or ChatGPT to improve engineering productivity and code quality.
  • Experience building and deploying applications using continuous integration pipelines and automated deployment tools such as Jenkins.
  • Experience using source control and pull requests in repository tools such as GitHub.
  • Strong communication and problem-solving skills.

Responsibilities

  • Build enterprise APIs and web applications.
  • Use unit testing and test automation libraries and strategies.
  • Build and deploy applications using continuous integration pipelines and automated deployment tools such as Jenkins.
  • Use source control and pull requests for collaborative development.

Benefits

  • Flexible work
  • Healthcare, including dental and vision coverage, mental health, and well-being programs
  • Financial well-being programs, including a 401(k) and Employee Share Ownership Plan
  • Paid time off and paid holidays
  • Paid parental leave
  • Family-building benefits, including adoption assistance, surrogacy, and cryopreservation
  • Subsidized backup child and elder care and tutoring
  • Mentoring, coaching, and learning programs
  • Employee Resource Groups
  • Disaster Relief
  • Life and disability insurance
  • Employee assistance programs
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