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Vector Ai Jobs in Delaware (NOW HIRING)

Agentic AI Engineer Location: Wilmington, DE Job Decsription: * 12+ years of software engineering ... Experience building Retrieval-Augmented Generation (RAG), vector database integrations, tool ...

AI Adoption Specialist

Wilmington, DE · On-site +1

$35 - $45/hr

Exposure to RAG concepts or vector databases. Awareness of Agile, Lean, or XP delivery methodologies. Ability to identify highvalue AI use cases and support ideation and scoping. Coursework ...

Sr. AI Engineer

Wilmington, DE

$118K - $156K/yr

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.

Sr. AI Engineer

Wilmington, DE · On-site

$118K - $156K/yr

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.

Sr. AI Engineer

Wilmington, DE · On-site

$118K - $156K/yr

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.

Job#: 3046301 Generative AI Engineer Location: Newark, DE (Hybrid) Employment Type: Contract ... Skills in data preprocessing, feature engineering, and vector databases. Everforth Apex is a world ...

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 ... search, agentic search, vector search, and full-text search architectures. * Demonstrated ...

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Responsibilities The AI Platform, Principal Engineer is responsible for designing, building, and ... Excellent knowledge of modern Vector and Graph databases * Excellent knowledge of Redis cache or ...

Responsibilities The AI Platform, Principal Engineer is responsible for designing, building, and ... Excellent knowledge of modern Vector and Graph databases * Excellent knowledge of Redis cache or ...

The AI Platform, Principal Engineer is responsible for designing, building, and maintaining robust ... Excellent knowledge of modern Vector and Graph databases * Excellent knowledge of Redis cache or ...

... SaaS and AI environments by detecting identity-based threats and risky configurations. We are ... Dive deep into terabytes of SaaS Application data to identify new attack vectors, emerging threats ...

Python • AI/ML & GenAI: Machine Learning, Deep Learning, LLMs, Prompt Engineering, Fine-tuning • Frameworks: TensorFlow, PyTorch • GenAI Tools: LangChain, LlamaIndex • Vector DB: Pinecone ...

Experience with vector stores, retrieval services, evaluation harnesses, and MCP/tool‑integration patterns. * Experience mentoring teams new to AI delivery. #J-18808-Ljbffr

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Showing results 1-20

Vector Ai information

What is a Vector AI?

Vector AI typically refers to professionals or technologies focused on vector-based artificial intelligence, which involves the use of high-dimensional vectors to represent data and perform machine learning tasks. These experts work on algorithms that process and analyze vector data for applications like image recognition, natural language processing, and recommendation systems. Their work is crucial in making AI systems more efficient at understanding complex patterns in large datasets. In some contexts, 'Vector AI' may also refer to companies or platforms developing such technologies.

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

To thrive as a Vector AI Engineer, you need strong foundations in mathematics, machine learning, and computer science, often supported by a degree in a related field. Expertise with vector databases (such as Pinecone or FAISS), programming languages like Python, and knowledge of frameworks like TensorFlow or PyTorch are typically required. Excellent problem-solving, analytical thinking, and effective communication skills help you translate complex business requirements into scalable AI solutions. These qualifications are crucial for developing, deploying, and maintaining efficient AI systems that leverage vector search and representation for real-world applications.

What are some common challenges faced by professionals working in Vector AI roles, and how can they be addressed?

Professionals in Vector AI roles often face challenges such as managing large-scale, high-dimensional data, ensuring model scalability, and optimizing search algorithms for speed and accuracy. Collaborating closely with data engineers, software developers, and product managers is crucial to integrate AI vector solutions effectively into products. Staying updated on the latest advancements in vector databases and similarity search techniques can also be demanding, so continuous learning and participation in relevant communities are highly beneficial. Adopting best practices for model evaluation and experiment tracking can help address these challenges and drive project success.

What is the difference between Vector Ai vs Data Analyst?

AspectVector AiData Analyst
Required CredentialsTechnical certifications, programming skillsDegree in statistics, data science, or related field
Work EnvironmentTech companies, AI development teamsBusiness, finance, healthcare sectors
Industry UsageAI, machine learning, software developmentData interpretation, reporting, decision support

Vector Ai professionals focus on developing and implementing AI algorithms, requiring technical skills and programming knowledge. Data Analysts interpret data to inform business decisions, often working with statistical tools. While both roles handle data, Vector Ai is more specialized in AI technology, whereas Data Analysts focus on data insights and reporting.

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

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

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

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

What cities in Delaware are hiring for Vector Ai jobs?

Cities in Delaware with the most Vector Ai job openings:

Infographic showing various Vector Ai job openings in Delaware as of June 2026, with employment types broken down into 68% Full Time, 20% Part Time, and 12% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Other

Posted 5 days ago


Job description

Job Title: Agentic AI Engineer Location: Wilmington, DE

Job Decsription:

  • 12+ years of software engineering experience with strong expertise in Python, react, AWS.
  • 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.