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Backend Ai Engineer Jobs in Delaware (NOW HIRING)

Senior AI Engineer

Wilmington, DE Β· On-site +1

$101K - $139K/yr

Chemours is seeking a Senior AI Engineer to join our growing AI & Data Science team. This is a ... Degree in Computer Science or Computer Engineering * 8+ years advanced backend development with ...

Principal Engineer - AI Platform

Wilmington, DE Β· On-site

$131K - $175K/yr

Ensure the scalability, reliability, and security of backend systems * Troubleshoot and debug ... AI or machine learning platforms. * Strong knowledge of programming languages such as Python, R ...

Principal Engineer - AI Platform

Wilmington, DE Β· On-site

$131K - $175K/yr

The AI Platform, Principal Engineer is responsible for designing, building, and maintaining robust ... Ensure the scalability, reliability, and security of backend systems * Troubleshoot and debug ...

Principal Engineer - AI Platform

Wilmington, DE Β· On-site

$131K - $175K/yr

Ensure the scalability, reliability, and security of backend systems * Troubleshoot and debug ... AI or machine learning platforms. * Strong knowledge of programming languages such as Python, R ...

AI-ML Tech Lead

Wilmington, DE Β· On-site

$42K - $55K/yr

They are seeking an AI-ML Tech Lead to own the end-to-end architecture for AI-agent systems and ... DSL engineers, backend developers, and SFMC specialists. β€’ Lead POCs, prototypes, and ...

Python Developer | Wilmington/New York, US

Wilmington, DE Β· On-site

$48.75 - $67.25/hr

Position Summary The Senior AI Engineer, Agentic Systems ( Python/React/AWS/AI) will design, build ... Engineer reliable backend services for agentic workloads, with emphasis on Python-based development ...

Python Developer | Wilmington/New York, US

Wilmington, DE Β· On-site

$48.75 - $67.25/hr

Position Summary The Senior AI Engineer, Agentic Systems ( Python/React/AWS/AI) will design, build ... Engineer reliable backend services for agentic workloads, with emphasis on Python-based development ...

Golang Developer Web3 Experiance

Dover, DE Β· On-site +1

$120K - $156K/yr

As a Senior Go Engineer at Mavik Labs, you'll be at the forefront of developing a large-scale, high ... Work on cutting-edge technologies in Web3, blockchain, and AI, creating a unique learning and ...

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Showing results 1-20

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:

Agentic AI Engineer

Wilmington, DE β€’ On-site

K-Tek Resourcing LLC
Recruiting and Staffing ServicesΒ β€’Β 11 - 50 employees

Other

Posted 16 days ago


Job description

  • 12+ years of software engineering experience with strong expertise in Python, AWS and Typescript.
  • Candidate should be owning end-to-end delivery with minimal supervision.
  • Extensive experience building AI applications using Python (FastAPI, Flask, LangChain/LlamaIndex) and TypeScript (Node.js, NestJS, Express) for backend services, AI agents, and orchestration layers.
  • Strong expertise in Agentic AI architecture, including agent design patterns, multi-agent systems, planning, reasoning, memory management, tool/function calling, and workflow orchestration.
  • Hands-on experience with orchestration frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI Agents SDK, or similar enterprise AI frameworks
  • Hands-on experience designing and implementing Agentic AI solutions, autonomous workflows, and enterprise AI applications.
  • Experience building Retrieval-Augmented Generation (RAG), vector database integrations, tool calling, function calling, and LLM-based applications.
  • Ability to independently own user stories from requirement analysis through development, unit testing, peer reviews, Dev/UAT testing, deployment, and production support.
  • Experience developing scalable APIs, microservices, and cloud-native AI solutions on AWS.
  • Strong understanding of prompt engineering, AI governance, observability, evaluation frameworks, and model optimization.
  • Collaborate with Product Owners, Architects, Data Scientists, and Platform teams to deliver enterprise AI capabilities.
  • Mentor engineering teams and drive engineering excellence across the complete SDLC.