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, Information Technology & Services.

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

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What You’ll Do

As an AI Full Stack Engineer (senior .NET experience) supporting a Confidential Client, you will design, build, and deliver full‑stack web applications that integrate AI/ML components and scalable backend services.

• Lead design and implementation of backend services using .NET (C#) and related frameworks.
• Build frontend interfaces and integrate them with backend APIs (modern JavaScript frameworks).
• Integrate AI/ML models or third‑party AI APIs into product features and data flows.
• Implement robust RESTful APIs, data persistence, and caching strategies.
• Collaborate with data scientists, product managers, QA, and DevOps to ship production quality features.
• Author and maintain unit/integration tests, CI/CD pipelines, and deployment automation.
• Troubleshoot performance, security, and reliability issues in production environments.
• Mentor mid/junior engineers and contribute to architecture and technical roadmap discussions.

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What We’re Looking For

Candidates should have strong, demonstrable experience matching the seniority in the job title and must be authorized to work in the United States.

• 8+ years professional experience in full‑stack development, with significant .NET (C#) experience.
• Proven experience building backend services/APIs in .NET (ASP.NET Core preferred).
• Strong JavaScript/TypeScript experience and familiarity with modern frontend frameworks (React, Angular, or similar).
• Experience integrating AI/ML models or ML service APIs into applications (model serving, inference pipelines, or SDKs).
• Solid SQL (e.g., SQL Server, PostgreSQL) and data modeling skills.
• Experience with containerization (Docker) and CI/CD practices.
• Strong problem solving, code quality, and testing discipline.
• Excellent communication skills and experience working in cross‑functional teams.

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Nice to Have

• Experience with cloud platforms (Azure or AWS) and managed ML services.
• Familiarity with model monitoring, feature stores, or MLOps tooling.
• Background in data engineering, streaming, or analytics pipelines.
• Experience with performance tuning and security best practices for web applications.

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Location & Work Authorization

This position will be based in New Jersey (NJ). Candidates must be legally authorized to work in the United States without company sponsorship.

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Why You’ll Love This Role

• Work on AI‑enabled products with direct business impact.
• Collaborate with a multidisciplinary team (data science, product, engineering).
• Opportunity to shape architecture and mentor other engineers.
• Competitive, professional environment focused on quality and delivery.

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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.