About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Artificial Intelligence.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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Overview

Confidential Client is hiring a Full Stack Engineer to help design, build, and maintain web applications that power AI-enabled products. You’ll work across the stack — from user-facing interfaces to APIs and infrastructure — collaborating with product, data science, and engineering teams to deliver secure, scalable solutions.

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What You’ll Do

• Build and maintain frontend interfaces and backend services for production web applications.
• Design and implement RESTful APIs and microservices to support product features.
• Collaborate with designers, product managers, and data scientists to ship features end-to-end.
• Write unit and integration tests; participate in code reviews and maintain high code quality.
• Troubleshoot and resolve performance, reliability, and security issues in production.
• Contribute to CI/CD pipelines and infrastructure-as-code to automate deployments and improve developer experience.
• Help define technical standards, documentation, and best practices for the engineering team.

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Required Qualifications

• 3+ years of professional software development experience in full-stack roles.
• Strong proficiency with modern JavaScript (ES6+) and front-end frameworks (React, Vue, or similar).
• Backend development experience with Node.js, Python, Ruby, Java, or equivalent.
• Experience building and consuming RESTful APIs and working with relational or NoSQL databases.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and common services (compute, storage, managed databases).
• Solid understanding of version control (Git), testing, and CI/CD practices.
• Strong problem-solving skills, effective communication, and ability to partner cross-functionally.

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Preferred (Nice-to-Have)

• Experience working on AI/ML-integrated applications or products.
• Knowledge of containerization (Docker) and orchestration (Kubernetes).
• Familiarity with observability tools (logging, metrics, tracing) and performance tuning.
• Experience with TypeScript, GraphQL, or serverless architectures.
• Prior experience at an early-stage/scale-up environment.

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Compensation & Benefits

• Competitive salary and equity opportunities (if applicable — final details provided by the client).
• Health, dental, and vision benefits where offered by the client.
• Flexible time off and remote-friendly policies as defined by the client.
• Professional development support and a collaborative engineering culture.

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Location & Work Authorization

• Location: United States (placement and remote policy determined by Confidential Client).
• Applicants must be authorized to work in the United States or be eligible for sponsorship as defined by the client.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.