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Ai Assistant Jobs in Delaware (NOW HIRING)

PCOnline

AI Solutions Engineer

Newark, DE · On-site

$85 - $110/hr

Experience building AI assistants, automation tools, knowledge systems, decision-support tools, or internal productivity applications. * Familiarity with cloud infrastructure, system integration ...

Athena LLC

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Responsibilities * Assist in developing and fine-tuning large language models (LLMs) to better ...

Athenago

AI Engineering Intern

Wilmington, DE

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Responsibilities * Assist in developing and fine-tuning large language models (LLMs) to better ...

Morson Talent

AI Adoption Specialist

Wilmington, DE · On-site +1

$35 - $45/hr

Participate in prompt tuning and experimentation to improve model outputs. Assist with integrating AI services and models into applications and workflows using APIs. Build small prototypes, scripts ...

Luxoft

AI & Platform Software Engineer

Wilmington, DE · On-site

Leverage GenAI capabilities in your own engineering workflow -- coding assistants, agent-based automation, AI-assisted testing and debugging -- to accelerate delivery, including SDLC automation ...

Luxoft

AI & Platform Software Engineer

Wilmington, DE · On-site

$110 - $150/hr

Leverage GenAI capabilities in your own engineering workflow -- coding assistants, agent-based automation, AI-assisted testing and debugging -- to accelerate delivery, including SDLC automation ...

Bancorp Bank

$150 - $200/hr

... knowledge assistants, workflow orchestration, and agentic AI-enabled process improvement ... Partners cross-functionally with Technology, Data Science, Operations, Risk, Compliance, Legal ...

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Ai Assistant information

What is an AI assistant?

An AI Assistant job involves developing, managing, or utilizing artificial intelligence to enhance productivity, automate tasks, and provide support in various industries. AI Assistants can be software-based, like virtual chatbots, or professionals who implement AI tools to optimize workflows. Responsibilities may include programming AI models, analyzing data, or assisting users with AI-powered solutions. The role varies depending on the organization and can range from customer support to advanced machine learning deployment.

What are the typical day-to-day responsibilities of an AI assistant?

On a daily basis, an AI Assistant reviews and processes data, helps refine AI models, and collaborates with cross-functional teams such as developers, data scientists, and product managers. Tasks may include responding to user queries, analyzing patterns for process improvement, and updating algorithms to enhance system performance. The role often requires quick learning and adaptation to new technologies as projects evolve. This dynamic environment allows AI Assistants to develop technical expertise and gain experience working across multiple aspects of artificial intelligence projects.

What are the key skills and qualifications needed to thrive in the AI assistant position, and why are they important?

To thrive as an AI Assistant, you should have a strong background in artificial intelligence concepts, data analysis, and programming, often supported by a relevant degree or training. Familiarity with AI development platforms, natural language processing tools, and machine learning frameworks is typically required. Excellent problem-solving abilities, clear communication, and adaptability are standout soft skills for this role. These competencies enable effective collaboration and innovative solutions in a rapidly evolving technology environment.

Can I get an AI Assistant job with no experience?

Entry-level AI Assistant positions often do not require prior experience, but having basic skills in AI tools, programming, or data management can improve your chances. Employers may look for relevant certifications or a willingness to learn, and some roles provide on-the-job training for beginners.

How do you become an AI assistant?

To become an AI assistant, candidates typically need a background in computer science, artificial intelligence, or related fields, along with skills in programming, natural language processing, and machine learning. Gaining experience with AI tools and platforms, such as Python, TensorFlow, or cloud services, is also important. Certifications in AI or data science can enhance job prospects in this role.

What are the most commonly searched types of Ai jobs in Delaware?

The most popular types of Ai jobs in Delaware are:

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

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

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

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

What cities in Delaware are hiring for Ai Assistant jobs?

Cities in Delaware with the most Ai Assistant job openings:

Ai Assistant jobs near you
Infographic showing various Ai Assistant job openings in Delaware as of August 2026, with employment types broken down into 2% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

AI Solutions Engineer

PCOnline

Newark, DE • On-site

$85 - $110/hr

Other

Posted 6 days ago

Job description

We are looking for an AI Solutions Engineer to join our Technical & Data Intelligence team. This role is designed for a hands-on problem solver who can combine AI, software engineering, data, and business understanding to build practical solutions that improve operational efficiency and decision-making across the organization. The ideal candidate is comfortable working in ambiguous business environments, partnering with cross-functional teams, identifying opportunities for improvement, and delivering scalable technical solutions from concept to implementation. We value candidates who can go beyond building demos. The right person is able to understand a real business problem, design a practical solution, build it, deploy it, support adoption, and continuously improve it based on user feedback and measurable impact.

Key Responsibilities
  • Design, develop, and implement AI-enabled solutions that address real business and operational challenges.
  • Work closely with business and technical stakeholders to understand requirements, clarify problems, and translate needs into practical technical solutions.
  • Build and integrate AI applications, automation workflows, internal tools, and data-driven solutions into existing business processes.
  • Apply technologies such as LLMs, RAG, agents, prompt engineering, APIs, and data pipelines where appropriate to improve productivity and decision-making.
  • Support the full solution lifecycle, including discovery, prototyping, development, testing, deployment, documentation, and ongoing improvement.
  • Evaluate solution performance, reliability, usability, cost, and business impact, and continuously improve delivered solutions.
  • Collaborate with engineering, data, product, operations, and business teams to ensure solutions are adopted and maintained effectively.
Basic Qualifications
  • Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field, or equivalent practical experience.
  • 2+ years of experience in software engineering, solutions engineering, data engineering, automation, AI application development, or related technical roles.
  • Strong programming ability in Python and experience working with APIs, databases, SQL, and data processing workflows.
  • Hands-on experience with AI application development, including LLM APIs, RAG, agents, prompt engineering, or related technologies.
  • Ability to understand business processes, analyze ambiguous problems, and convert them into actionable technical solutions.
  • Experience delivering technical solutions beyond prototypes, preferably in production or business-critical environments.
  • Strong communication skills and ability to work effectively with both technical and non-technical stakeholders.
  • Strong ownership, execution ability, and willingness to work in a fast-moving environment.
  • Experience in solutions engineering, forward deployed engineering, internal tools, automation, technical consulting, or business systems implementation.
  • Experience with enterprise systems, workflow automation, BI tools, cloud platforms, or data platforms.
  • Experience building AI assistants, automation tools, knowledge systems, decision-support tools, or internal productivity applications.
  • Familiarity with cloud infrastructure, system integration, security, permissions, monitoring, and production reliability practices.
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