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Senior Ai Agent Developer Jobs in Delaware (NOW HIRING)

Sr. AI Engineer

Newark, DE · On-site

$102K - $140K/yr

Client: Photon Position: Sr. AI Engineer Location: Newark, DE (Onsite) Duration: W2 Contract ... SDK/integration architecture, retrieval and agent design, guardrails, and evaluation. Makes the ...

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 ...

Collaborate with senior AI engineers to prototype systems that use AI for agentic workflows ... Help build lightweight evaluation harnesses and experiments to test agent behavior, workflow ...

Collaborate with senior AI engineers to prototype systems that use AI for agentic workflows ... Help build lightweight evaluation harnesses and experiments to test agent behavior, workflow ...

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 ...

Lead AI Engineer | Onsite - Delaware

Wilmington, DE · On-site

$99K - $131K/yr

Define standards for advanced prompt engineering and context window management . * Own delivery of ... Drive delivery of AI agent and multi-agent systems and tool-use/MCP integration patterns. * Own ...

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 ...

Software Engineer

Wilmington, DE · On-site

$73 - $78/hr

... DevOps practices. * Experience supporting Contact Center, Customer Experience (CX), or Call Center technologies. * Experience working with GenAI, Vertex AI, Agent Development Kit (ADK), or other AI ...

Lead AI Engineer

Wilmington, DE · On-site

$186K - $285K/yr

Mentor senior engineers, foster communities of practice, and promote architectural thinking ... agent platforms * 3+ years of experience implementing application security controls including ...

Working knowledge of generative AI, intelligent automation, prompt engineering, and responsible AI ... Senior leadership scope - own the full stack from roadmap to delivery to governance * Strategic ...

Operations Senior Manager, AI

Wilmington, DE · On-site +1

$136K - $162K/yr

That's the work of the Operations Senior Manager, AI. The impact you'll make: You'll have the scope ... You'll work with cross-functional teams across Product, Engineering, vendors, and Operations to ...

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Senior Ai Agent Developer information

What are the key skills and qualifications needed to thrive as a Senior AI Agent Developer, and why are they important?

To thrive as a Senior AI Agent Developer, you need advanced programming skills (especially in Python), deep knowledge of machine learning and reinforcement learning algorithms, and a degree in computer science or a related field. Familiarity with AI frameworks such as TensorFlow, PyTorch, and tools for deploying and monitoring agents is typical, along with experience using cloud platforms like AWS or Azure. Strong problem-solving abilities, leadership, and effective communication set standout professionals apart in this role. These skills ensure the development of robust, scalable AI agents and effective collaboration within multidisciplinary teams to drive impactful AI solutions.

What is a Senior AI Agent Developer?

A Senior AI Agent Developer is an experienced software engineer who specializes in designing, building, and deploying intelligent agents using artificial intelligence techniques. These professionals work with advanced technologies such as machine learning, natural language processing, and reinforcement learning to create agents that can autonomously perform complex tasks. They often lead teams, architect solutions, and ensure that AI systems meet performance, reliability, and ethical standards. Their expertise is crucial for developing applications in areas like virtual assistants, robotics, autonomous vehicles, and enterprise automation.

What are some common challenges faced by Senior AI Agent Developers when deploying solutions in production environments?

Senior AI Agent Developers often encounter challenges such as ensuring the scalability and reliability of AI agents when transitioning from prototype to production. Managing data pipelines, integrating with existing systems, and optimizing model performance for real-time decision-making are frequent hurdles. Additionally, maintaining transparency, monitoring for bias, and updating models as new data becomes available are ongoing responsibilities. Collaboration with cross-functional teams—like data engineers, product managers, and QA—helps address these complexities and ensures successful deployment.
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 Senior Ai Agent Developer jobs in Delaware? For Senior Ai Agent Developer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Senior Ai Agent Developer jobs in Delaware look for? The top searched job categories for Senior Ai Agent Developer jobs in Delaware are:
What cities in Delaware are hiring for Senior Ai Agent Developer jobs? Cities in Delaware with the most Senior Ai Agent Developer job openings:
Infographic showing various Senior Ai Agent Developer job openings in Delaware as of July 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.

Sr. AI Engineer

Photon

Newark, DE • On-site

$102K - $140K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Client: Photon
Position: Sr. AI Engineer
Location: Newark, DE (Onsite)
Duration: W2 Contract & Full time

Short Description for Internal Candidates
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).