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Backend Ai Engineer Jobs in Delaware (NOW HIRING)

This role offers the opportunity to contribute across both frontend and backend development in a ... AI-assisted development and code deployment experience * AWS cloud experience * Experience ...

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Backend Ai Engineer information

What is a Backend AI Engineer?

A Backend AI Engineer is a software engineer who specializes in building and maintaining the server-side infrastructure for artificial intelligence applications. Their work involves designing APIs, integrating machine learning models, managing databases, and ensuring efficient data flow between systems. They collaborate with data scientists and frontend developers to deploy AI models at scale and make them accessible through robust backend services. Key skills for this role include programming (often in Python, Java, or similar languages), cloud computing, and knowledge of AI frameworks.

What are the key skills and qualifications needed to thrive as a backend AI engineer?

To thrive as a Backend AI Engineer, you need strong programming skills (especially in Python or Java), a deep understanding of algorithms and data structures, and a background in computer science or related fields. Familiarity with AI/ML frameworks (like TensorFlow or PyTorch), RESTful APIs, databases, and cloud platforms is typically expected, along with relevant certifications. Exceptional problem-solving abilities, teamwork, and effective communication are soft skills that distinguish top performers. These competencies are crucial for designing robust, scalable AI solutions that integrate seamlessly with backend systems and drive innovation.

What are some common challenges backend AI engineers face when deploying machine learning models to production?

Backend AI Engineers often encounter challenges such as ensuring model scalability, maintaining low latency, and handling diverse data inputs during deployment. Integrating models into existing backend systems can also require careful consideration of APIs, security, and resource management. Additionally, monitoring model performance and updating models with new data are ongoing responsibilities that require close collaboration with data scientists, DevOps, and product teams.

What is the difference between Backend Ai Engineer vs Data Scientist?

AspectBackend Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; knowledge of programming, AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI models, integrates AI into backend systems, collaborates with software teamsAnalyzes data, builds models, interprets data insights, collaborates with business teams
Industry UsageTech companies, AI startups, software firmsResearch institutions, tech companies, finance, healthcare
Common Search/ComparisonYesYes

While both roles involve working with AI and data, Backend Ai Engineers focus on integrating AI models into backend systems and developing scalable AI solutions. Data Scientists primarily analyze data, build predictive models, and generate insights. The roles often overlap in skills and tools but differ in their core focusβ€”system integration versus data analysis.

What are popular job titles related to Backend Ai Engineer jobs in Delaware?

For Backend Ai Engineer jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Backend Ai Engineer jobs in Delaware look for?

The top searched job categories for Backend Ai Engineer jobs in Delaware are:

What cities in Delaware are hiring for Backend Ai Engineer jobs?

Cities in Delaware with the most Backend Ai Engineer job openings:

Full Stack Engineer (React/Java) / Wilmington, DE / W2 Only

Wilmington, DE β€’ On-site

Ampcus Inc
IT ServicesΒ β€’Β 1 - 5K employees

$51 - $65.75/hr

Other

Posted 16 days ago


Job description

Title: Full Stack Java Developer (React + Java)

Location: Wilmington, DE - Onsite

Required Visa: & GC

Type: Contract to hire - W2 Only

Hiring Manager Required:

This is a front-end-weighted full-stack position, with approximately 75% of the work focused on React/TypeScript UI development and 25% on Java/Spring Boot backend development. The successful candidate should be comfortable working across the full software development lifecycle in an Agile/Scrum environment.

Key Responsibilities

Develop and maintain full-stack applications with a focus on React (frontend) and Java/Spring Boot (backend)

Collaborate across teams to deliver high-quality solutions within an AI-enabled SDLC environment

Contribute to systems such as Room Reservations and Internet platforms

Participate in code reviews and ensure adherence to best practices

Work closely with cross-functional teams in a fast-paced, collaborative setting

Required Skills & Experience

Need 5 Years Strong hands-on experience in React.js & TypeScript.

Solid backend development experience using Java and Spring Boot

Balanced full-stack capability (~75% frontend / 25% backend)

Familiarity with software development lifecycle (SDLC), preferably with AI-driven processes

Experience with CI/CD pipelines and software deployment processes.

Experience with REST APIs and application integration.

Exposure to AWS (Required)

Additional Highlights

Opportunity to work on AI-focused initiatives integrated into SDLC

Exposure to enterprise-scale systems and modern cloud technologies


Ampcus logo

About Ampcus

Sourced by ZipRecruiter

Ampcus Inc. is a ISO 20000, ISO 27000, ISO 9001, CMMI DEV/3 SM and CMMI SVC/3 SM certified global provider of a broad range of Technology and Business consulting services. From strategy to execution, our disciplined yet flexible approach starts and ends with our clients. By listening hard and working harder, client goals become our goals. Their success is our satisfaction. It’s why our clients sleep well at night. We believe that the success of an engagement is determined by strong project management, as well as clear communication and mutual commitment working collaboratively. Our methodology begins with listening to the customer about their needs, then working with their team to gain a clear understanding of the requirements, while providing knowledge transfer of best practices for the organization.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chantilly, VA, US

Year founded

2004