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Ai Agent Engineer 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 ...

Judge Group, Inc.

Software Engineer

Wilmington, DE · On-site

$73 - $78/hr

Software Engineer, Full Stack (Java/React) We are not accepting C2C or 1099 arrangements. Location ... Experience working with GenAI, Vertex AI, Agent Development Kit (ADK), or other AI-powered ...

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 · 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

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 ...

New

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 ...

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 ...

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 · On-site

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 ...

Teradata Corporation (SE)

Senior AI Engineer

Dover, DE · On-site

$143.50 - $215.20/hr

What You'll Do As a Senior AI Engineer, you will be a key contributor to our internal engineering AI initiatives, designing and building agent-based AI solutions that significantly enhance developer ...

New

Monitise

Lead AI Engineer

Wilmington, DE · On-site

$186K - $285K/yr

Job Title Lead AI Engineer About Your Role As a Lead AI Engineer, you will play a critical role in ... agent platforms * 3+ years of experience implementing application security controls including ...

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 ...

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Ai Agent Engineer information

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How much do ai agent engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for ai agent engineer in Delaware is $53.68, according to ZipRecruiter salary data. Most workers in this role earn between $43.32 and $62.31 per hour, depending on experience, location, and employer.

What is an AI Agent engineer?

An AI Agent Engineer designs, develops, and optimizes autonomous AI agents that can perceive, reason, and act within digital or real-world environments. They work with machine learning, reinforcement learning, and natural language processing to build intelligent systems that interact dynamically with users and other agents. These engineers often integrate AI models with APIs, databases, and software applications to create functional and scalable AI-driven solutions. Their role bridges software engineering and artificial intelligence, ensuring agents operate efficiently and adaptively in various use cases.

What are some typical challenges faced by AI Agent engineers in their day-to-day work?

AI Agent Engineers often encounter challenges such as optimizing agent performance for real-time environments, integrating new algorithms without disrupting existing systems, and ensuring their models can handle diverse and dynamic real-world data. Troubleshooting unexpected behaviors or edge cases and keeping up with rapidly evolving research in artificial intelligence can also be demanding. Working closely with product managers, data scientists, and software developers helps address these challenges, making collaboration and adaptability key components of daily tasks. Overcoming these issues offers valuable learning opportunities and contributes to the growth of robust, innovative AI solutions.

What are the key skills and qualifications needed to thrive as an AI Agent engineer?

To excel as an AI Agent Engineer, you need a robust background in computer science, machine learning, and software engineering, often supported by a degree in a STEM field. Familiarity with programming languages like Python, relevant AI frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms are typically expected, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, effective communication, and teamwork skills are essential soft skills for collaborating on complex AI projects. These competencies ensure you can design, implement, and refine intelligent agents that meet real-world challenges and deliver business value.

What are popular job titles related to Ai Agent Engineer jobs in Delaware? For Ai Agent Engineer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Ai Agent Engineer jobs in Delaware look for? The top searched job categories for Ai Agent Engineer jobs in Delaware are:
What cities in Delaware are hiring for Ai Agent Engineer jobs? Cities in Delaware with the most Ai Agent Engineer job openings:
Ai Agent Engineer jobs near you
Infographic showing various Ai Agent Engineer job openings in Delaware as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $111,648 per year, or $53.7 per hour.

Lead AI Engineer

Photon

Newark, DE • On-site

$100K - $132K/yr

Other

Posted 21 days ago

Job description

Hi,

Hope you are doing well,

Myself Mankar from Photon and I have a position with our direct client, please send me your updated resume if you are interested and you can connect me through

Lead AI Engineer

Newark, DE - Onsite

Responsibilities

Owns end-to-end delivery of how the organization builds LLM-powered applications: SDK/integration architecture, retrieval and agent design, guardrails, and evaluation. Makes the calls on which LLMs to use for which use cases and sets the observability/cost discipline around AI systems, but is measured on shipped outcomes runs the offshore team day-to-day and stays hands-on to unblock delivery risk.

Description for Internal Candidates

Key Responsibilities

  • Own delivery of LLM API integration and SDK patterns used across applications.
  • Set organizational guidance on which LLM to use for what use case and drive delivery of multi-LLM scenarios.
  • Define standards for advanced prompt engineering and context window management.
  • Own delivery of RAG systems, including vector database selection/topology and knowledgebase design.
  • Drive delivery of AI agent and multi-agent systems and tool-use/MCP integration patterns.
  • Own guardrails delivery (safety, compliance, PII handling in prompts/outputs) critical in a financial-services context.
  • Define evaluation frameworks and real-time eval strategy; set standards for AI testing in CI/CD.
  • Own latency profiling, AI observability, and cost tracking/management for LLM-backed systems.
  • Run day-to-day delivery of the offshore development team: sprint commitments, code/design review, real-time unblocking, and hands-on work on critical-path AI features.
  • Report delivery status, risks, and blockers to engineering leadership.

Must-Have Qualifications

  • 6+ years in software engineering, with 2+ years as a tech lead owning end-to-end delivery of LLM/AI-powered systems (not a pure design/review architect role).
  • Proven track record of shipping AI-powered features on committed timelines, including hands-on troubleshooting under delivery pressure.
  • Strong, hands-on Python skills at an architectural/systems level.
  • Proven experience architecting LLM API integrations and SDK-level abstractions across multiple providers.
  • Demonstrated judgment on model selection (cost, latency, capability trade-offs) across use cases.
  • Deep expertise in prompt engineering and context window management at scale.
  • Proven design experience with RAG systems, including vector database architecture and knowledgebase design.
  • Experience architecting AI agents/multi-agent systems and tool-use patterns (MCP or equivalent).
  • Strong understanding of guardrails design content safety, PII protection, compliance controls for AI outputs.
  • Experience defining evaluation frameworks and integrating AI testing into CI/CD.
  • Proven ability to design for latency, observability, and cost management of AI systems in production.
  • Financial-services or regulated-industry experience strongly preferred given compliance/guardrail stakes.
  • Strong stakeholder communication; able to directly manage day-to-day delivery of an offshore team (standups, unblocking, sprint accountability).

Nice-to-Have Qualifications

  • Direct experience with specific frameworks (LangChain, LlamaIndex, Semantic Kernel, or equivalent).
  • Experience with AWS Bedrock or comparable managed LLM platforms.
  • Contributions to or deep familiarity with MCP (Model Context Protocol) implementations.
  • Experience building internal LLM gateways.
  • Familiarity with responsible-AI/model-risk-management frameworks used in financial services.

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