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Ai Agent Developer Jobs in Delaware (NOW HIRING)

Photon

Lead AI Engineer

Newark, DE · On-site

$100K - $132K/yr

... Lead AI Engineer Newark, DE - Onsite Responsibilities Owns end-to-end delivery of how the ... SDK/integration architecture, retrieval and agent design, guardrails, and evaluation. Makes the ...

ApTask

AI-ML Tech Lead

Wilmington, DE · 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 ... Required : • 10+ years of software engineering experience with at least 3+ years in a Tech Lead ...

Humana Inc

Senior Engineer, Offensive Security

Dover, DE · On-site

$118 - $162/hr

If you're a strong offensive operator who has built real AI tooling, or a strong AI/agent builder ... Production Python engineering: you build and operate real tooling, not only one‑off scripts.

Athena LLC

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 ...

Athenago

AI Engineering Intern

Wilmington, DE

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 ...

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 ...

Berkley

Sr. AI Engineer

Wilmington, DE · On-site

$118K - $156K/yr

Create and operate agentic workflows with LangGraph, n8n, or Agent Development Kit; iterate on ... engineering delivering agentic AI production systems. * Proficiency in Python and modern ...

Berkley

Sr. AI Engineer

Wilmington, DE

$118K - $156K/yr

Create and operate agentic workflows with LangGraph, n8n, or Agent Development Kit; iterate on ... engineering delivering agentic AI production systems. * Proficiency in Python and modern ...

Berkley

Sr. AI Engineer

Wilmington, DE · On-site

$118K - $156K/yr

The Sr. AI Engineer is focused on building, testing, and operating AI-enabled features and services ... Create and operate agentic workflows with LangGraph, n8n, or Agent Development Kit; iterate on ...

Aleron

Material Handling Operator

New Castle, DE · On-site

$25/hr

... manufacturing, engineering, technology, healthcare, and other industries. We partner with ... AI agent role is to help speed up your hiring process by answering questions, confirming basic ...

The Chemours Company

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 ...

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Ai Agent Developer information

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How much do ai agent developer jobs pay per year?

As of Aug 15, 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.

Is an AI agent developer a good career?

An AI agent developer is a promising career with high demand due to the growth of artificial intelligence applications. It typically requires skills in programming, machine learning, and data analysis, and offers opportunities in various industries such as technology, healthcare, and finance. The field often provides competitive salaries and continuous learning opportunities as AI technology evolves.

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.

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Ai Agent Developer jobs near you

Senior Java AI Developer (RAG/LLM)

Geethanjali College of Engineering and Technology

Wilmington, DE • On-site

$55.50 - $70.75/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

The client is looking for a Senior Java AI Developer to develop enterprise-scale Generative AI applications. The ideal candidate will possess strong Java backend expertise along with hands-on experience building Retrieval-Augmented Generation (RAG) solutions and integrating enterprise applications with Large Language Models.
Required Skills
  • 10+ years of Java development experience
  • Strong experience with Java 17+ and Spring Boot
  • Hands-on experience building Retrieval-Augmented Generation (RAG) systems
  • Experience with Spring AI, LangChain4j, or similar Java AI frameworks
  • Experience integrating OpenAI, Azure OpenAI, Claude, Gemini, or Llama models
  • Strong knowledge of vector databases such as Pinecone, Milvus, Weaviate, FAISS, or ChromaDB
  • Experience implementing semantic search and document retrieval pipelines
  • Strong REST API and Microservices development experience
  • Experience with Kafka or other messaging platforms
  • Experience with Docker, Kubernetes, and OpenShift
  • Experience with AWS, Azure, or Google Cloud Platform
  • Strong SQL and NoSQL database experience
  • Experience with Git, Jenkins, and CI/CD
  • Experience with Agile development methodologies
Preferred Skills
  • Banking or financial services experience
  • Knowledge of AI agents and autonomous workflows
  • Experience with Spring AI ecosystem
  • Experience implementing enterprise security standards
  • Experience with AI governance and monitoring
  • Knowledge of prompt engineering and model evaluation
Responsibilities
  • Design and develop enterprise Java-based AI applications
  • Build scalable RAG architectures using Java and Spring Boot
  • Integrate LLMs into enterprise applications
  • Develop document ingestion, indexing, and retrieval pipelines
  • Build secure APIs for AI services
  • Optimize retrieval accuracy and response quality
  • Collaborate with architects, ML engineers, and business teams
  • Deploy AI services using containerized cloud platforms
  • Ensure application performance, scalability, and compliance
  • Provide technical leadership and mentor development teams
Nice to Have:
  • Experience with LangGraph or AI Agent frameworks
  • MCP (Model Context Protocol) implementation experience
  • Knowledge Graph integration
  • AI observability tools (LangSmith, Arize AI, TruLens)
  • NVIDIA NIM or enterprise inference platforms
  • Financial regulatory compliance experience
  • Exposure to Agentic AI architectures

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