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Ai Agent Developer Jobs in Delaware (NOW HIRING)

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Help build lightweight evaluation harnesses and experiments to test agent behavior, workflow ...

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Help build lightweight evaluation harnesses and experiments to test agent behavior, workflow ...

Senior AI Engineer

Wilmington, DE · On-site +1

$101K - $139K/yr

Chemours is seeking a Senior AI Engineer to join our growing AI & Data Science team. This is a ... Strong hands-on experience designing and building GenAI architectures and multi-agent systems ...

Lead AI Engineer

Wilmington, DE · On-site

$186K - $285K/yr

... AI developer tools that improve quality, productivity, and delivery velocity * Deliver technical ... agent platforms * 3+ years of experience implementing application security controls including ...

At least five years of experience in data science, analytics, data engineering or digital ... agent development. * Strong statistical analysis, data visualization and problem-solving ...

Showing results 21-40

Ai Agent Developer information

See Delaware salary details

$29K

$48K

$99.6K

How much do ai agent developer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for ai agent developer in Delaware is $47,972.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,000.00 and $51,000.00 per year, depending on experience, location, and employer.

What is an AI agent developer?

An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.

What are some common challenges faced by AI agent developers in their daily work?

AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.

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

To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.

How to become an AI agent developer?

To become an AI agent developer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of AI concepts such as natural language processing and reinforcement learning. Gaining relevant education through degrees or online courses and building a portfolio of AI projects can also enhance your qualifications.

Is an AI Agent Developer a good career?

An AI Agent Developer is a promising career path in the technology industry, focusing on creating intelligent systems that can perform tasks autonomously. It typically requires skills in programming, machine learning, and AI frameworks, with strong job growth prospects due to increasing demand for automation and AI solutions. The role offers opportunities for innovation and specialization in emerging technologies.

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

The most popular types of Ai Agent Developer jobs in Delaware are:

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

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

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

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

What cities in Delaware are hiring for Ai Agent Developer jobs?

Cities in Delaware with the most Ai Agent Developer job openings:

Infographic showing various Ai Agent Developer job openings in Delaware as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $47,972 per year, or $23.1 per hour.

Agentic AI Engineer

K-Tek Resourcing LLC

Wilmington, DE • On-site

Other

Posted 11 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.