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Cursor Ai Jobs in Delaware (NOW HIRING)

Sr. AI Engineer

Wilmington, DE · On-site

$118K - $156K/yr

Hands on experience with Agentic AI development tools like Cursor, Claudecode and Github copilot. * Clear, concise communicator able to collaborate with analysts, QA, architects, and business ...

Sr. AI Engineer

Wilmington, DE · On-site

$118K - $156K/yr

Hands on experience with Agentic AI development tools like Cursor, Claudecode and Github copilot. * Clear, concise communicator able to collaborate with analysts, QA, architects, and business ...

Sr. AI Engineer

Wilmington, DE

$118K - $156K/yr

Hands on experience with Agentic AI development tools like Cursor, Claudecode and Github copilot. * Clear, concise communicator able to collaborate with analysts, QA, architects, and business ...

Sr. AI Engineer

Wilmington, DE · On-site

$120 - $180/hr

Hands on experience with Agentic AI development tools like Cursor, Claudecode and Github copilot. * Clear, concise communicator able to collaborate with analysts, QA, architects, and business ...

New

Cursor Ai information

What is Cursor AI?

Cursor AI is an advanced AI-powered code editor designed to assist software developers in writing, debugging, and understanding code more efficiently. It leverages artificial intelligence to provide context-aware code completions, automated code explanations, and suggestions, as well as tools for collaborative coding. Cursor AI aims to streamline the software development process by integrating with popular programming languages and development environments, making it easier for developers to create high-quality software. Its features help improve productivity, reduce errors, and support learning for both novice and experienced programmers.

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

To thrive as an AI Engineer, you need a solid background in computer science, mathematics, and machine learning, often demonstrated by a relevant degree or industry experience. Familiarity with programming languages such as Python, frameworks like TensorFlow or PyTorch, and cloud platforms is typically required, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, creativity, and effective communication distinguish top performers in this field. These skills and qualities are essential for developing innovative AI solutions that address complex business challenges and drive technological advancement.

How does a Cursor AI engineer typically collaborate with cross-functional teams to deliver AI-driven solutions?

As a Cursor AI Engineer, you will frequently work with product managers, data scientists, and software engineers to translate business needs into scalable AI solutions. Collaboration often involves participating in agile sprints, sharing updates during stand-up meetings, and reviewing code or model performance with peers. It's common to contribute both to backend systems and user-facing features, requiring strong communication skills to align technical work with broader project goals. This collaborative approach not only helps deliver impactful products but also provides opportunities to learn from professionals in diverse roles.

What is the difference between Cursor Ai vs Data Analyst?

AspectCursor AiData Analyst
Required CredentialsTechnical skills, AI/ML knowledge, programmingDegree in statistics, mathematics, or related field
Work EnvironmentTech companies, AI startups, software development teamsBusiness, finance, healthcare, and various industries
Employer & Industry UsageAI-driven projects, software development, automationData interpretation, reporting, decision support

Cursor Ai focuses on developing AI tools and automation solutions, requiring technical and programming skills. Data Analysts interpret data to inform business decisions, often working with statistical tools. While both roles involve data, Cursor Ai is more technical and AI-oriented, whereas Data Analysts focus on data interpretation and reporting.

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

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

What cities in Delaware are hiring for Cursor Ai jobs?

Cities in Delaware with the most Cursor Ai job openings:

Infographic showing various Cursor Ai job openings in Delaware as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 67% In-person, and 33% Remote job distribution.

Sr. AI Engineer

Berkley

Wilmington, DE • On-site

$118K - $156K/yr

Other

Re-posted 29 days ago


Job description

Company Details
Company URL: https://www.berkleytechnologyservices.com/
Berkley Technology Services (BTS) is the dynamic technology solution for W. R. Berkley Corporation, a Fortune 500 Commercial Lines Insurance Company. With key locations in Urbandale, IA and Wilmington, DE, BTS provides innovative and customer-focused IT solutions to the majority of WRBC's 60+ operating units across the globe. BTS's wide reach ensures that ideas and opinions are considered at every level of the organization to guarantee we find the best solutions possible.
Driven by a commitment to collaboration, BTS acts as consultants to our customers and Operating Units by providing comprehensive solutions that not only address the challenge at hand, but proactively plan for the "What's Next" in our industry and beyond.
With a culture centered on innovation and entrepreneurial spirit, BTS stands as a community of technology leaders with eyes toward the future - leaders who truly care about growing not only their team members, but themselves, and take pride in their employees who shine. BTS offers endless ways to get involved and have the chance to grow your career into a wide range of roles you'd never known existed. Come join us as we push forward into the future of industry leading technological solutions.
Berkley Technology Services: Right Team, Right Technology, Simple and Secure.
Responsibilities
The Sr. AI Engineer is focused on building, testing, and operating AI-enabled features and services. Senior AI Engineers deliver production code: implementing services and agentic workflows, wiring up retrieval-augmented generation (RAG) pipelines, integrating with web applications, and instrumenting systems for reliability, security, and cost.
  • Build Python services and microservices (APIs, workers) that expose AI capabilities; write clean, tested, maintainable code.
  • Implement end-to-end RAG pipelines: connectors, parsing, chunking, embeddings, indexing, and retrieval using Azure AI Search and/or Pinecone.
  • Create and operate agentic workflows with LangGraph, n8n, or Agent Development Kit; iterate on prompts/flows and automate offline/online evaluations
  • Integrate AI into web applications (REST/GraphQL, events) with attention to input/output validation, rate limiting, and graceful degradation.
  • Own CI/CD and containerization for your services; add telemetry (logs/metrics/traces), dashboards, and alerts; participate in on-call/incident response
  • Apply Responsible AI, data protection, and access controls; contribute guardrails (filters, red-teaming, PII handling) in code.
  • Collaborate with analysts, QA, and product owners to refine requirements; demo increments and incorporate feedback in an agile cadence

Qualifications
  • 5+ years of professional software engineering experience.
  • 3+ years of hands-on applied AI/LLM engineering delivering agentic AI production systems.
  • Proficiency in Python and modern engineering practices (testing, linting, typing, packaging, CI).
  • Experience with Cloud AI platforms like Azure AI Foundry, GCP Vertex and AWS Bedrock.
  • Hands-on experience with vector databases and search algorithms.
  • Solid experience with containers and CI/CD; practical AI observability (logs/metrics/traces) and production support mindset.
  • Developed multi-agent systems using MCP and A2A technologies.
  • Hands on experience with Agentic AI development tools like Cursor, Claudecode and Github copilot.
  • Clear, concise communicator able to collaborate with analysts, QA, architects, and business stakeholders.
  • Experience with AI Observability in platforms like Datadog and Langsmith.
  • Bachelor's degree with emphasis in related field or equivalent experience.

Qualifications that are not required but are a plus
  • Familiarity with knowledge graphs (e.g., Neo4j) and graph queries (e.g., Cypher)
  • Experience leveraging and training NLP models
  • Experience fine-tuning LLMs and VLMs
  • Experience with LLM evaluation frameworks like DeepEval and RAGAs

Additional Company Details
We do not accept unsolicited resumes from third party recruiting agencies or firms.