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Intern Vector Jobs in Red Oak, TX (NOW HIRING)

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Understanding of vector databases (e.g., Pinecone, Milvus, Chroma, or pgvector). Backend & Concurrency (Java/Spring): * Strong experience with Spring Boot, Spring WebFlux (for reactive/streaming APIs ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Understanding of vector databases (e.g., Pinecone, Milvus, Chroma, or pgvector). Backend & Concurrency (Java/Spring): Strong experience with Spring Boot, Spring WebFlux (for reactive/streaming APIs ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Understanding of vector databases (e.g., Pinecone, Milvus, Chroma, or pgvector). Backend & Concurrency (Java/Spring): * Strong experience with Spring Boot, Spring WebFlux (for reactive/streaming APIs ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Understanding of vector databases (e.g., Pinecone, Milvus, Chroma, or pgvector). Backend & Concurrency (Java/Spring): * Strong experience with Spring Boot, Spring WebFlux (for reactive/streaming APIs ...

All JobsIntern Vector JobsIntern Vector Jobs in Red Oak, TX

Intern Vector information

See Red Oak, TX salary details

$8

$16

$24

How much do intern vector jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for intern vector in Red Oak, TX is $16.87, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $19.04 per hour, depending on experience, location, and employer.

What is an intern vector?

Intern Vector positions are typically internship roles focused on vector mathematics, data structures, or computational tasks involving vectors, often in fields like computer science, data analysis, or engineering. Interns in these roles may assist with coding, machine learning projects, or research that involves vector operations and algorithms. These internships provide hands-on experience, mentorship, and a chance to develop technical skills relevant to the industry. Intern Vectors help bridge academic knowledge with real-world applications, giving students a valuable entry point into their chosen fields.

What typical projects or tasks can an intern vector expect to work on during their internship?

As an Intern Vector, you can expect to support projects involving data analysis, algorithm development, and software testing, often under the guidance of senior engineers or data scientists. Your daily responsibilities may include assisting with coding, debugging, and documentation, as well as collaborating with team members during meetings or code reviews. This role provides valuable exposure to real-world technical challenges and the opportunity to contribute to meaningful projects, helping you build practical skills and professional relationships that can aid in your future career growth.

What are the key skills and qualifications needed to thrive as an intern vector, and why are they important?

To thrive as an Intern Vector, you typically need a background in mathematics, computer science, or engineering, supported by ongoing pursuit of a relevant degree. Familiarity with programming languages (such as Python or C++), data analysis tools, and version control systems like Git is often expected. Strong communication, teamwork, and adaptability help you integrate into professional environments and contribute effectively to projects. These skills and qualities are crucial for successfully applying academic knowledge in practical settings and for building a foundation for future career growth.

What is the difference between Intern Vector vs Intern Data Analyst?

AspectIntern VectorIntern Data Analyst
Required CredentialsBasic coursework in vector mathematics, computer science, or related fieldsCoursework in statistics, data analysis, or related fields
Work EnvironmentTech companies, research labs, or software development teamsBusiness, finance, healthcare, or marketing departments
Employer & Industry UsageUsed in fields involving computer graphics, simulations, or machine learningCommon in industries analyzing data for insights and decision-making
Search & Comparison IntentUnderstanding roles involving vector computations or graphicsRoles focused on data analysis and interpretation

Intern Vector typically involves working with mathematical vectors in tech or research settings, focusing on algorithms or graphics. Intern Data Analyst centers on analyzing data sets to generate insights, often in business or healthcare. While both are internships, their focus areas and skill requirements differ significantly, catering to distinct industry needs.

What cities near Red Oak, TX are hiring for Intern Vector jobs?

Cities near Red Oak, TX with the most Intern Vector job openings:

Intern Vector jobs near you
Infographic showing various Intern Vector job openings in Red Oak, TX as of August 2026, with employment types broken down into 18% Internship, 1% As Needed, 49% Full Time, 25% Part Time, 1% Temporary, and 6% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $35,085 per year, or $16.9 per hour.

AI Lead Location: Dallas TX (100% Onsite)

E-Solutions, Inc.

Dallas, TX • On-site

Other

Posted 22 days ago

Key responsibilities

  • Lead the end-to-end architecture, design, and implementation of Agentic AI and GenAI solutions across enterprise use cases

  • Design and develop agentic AI frameworks involving orchestrator agents, tool usage, reasoning pipelines, and validation layers

  • Collaborate with business stakeholders to translate cash, billing, and financial processes into AI-driven automation use cases

Job description

Role: AI Lead

Location: Dallas TX (100% Onsite)

 

Role Overview

We are seeking a highly experienced AI Lead to drive the design and delivery of cutting-edge Agentic AI and Generative AI solutions. The ideal candidate will have deep expertise in GenAI architecture, LLM-based systems, and multi-agent workflows, along with strong hands-on experience in Python, API integration and cloud platforms such as Google Cloud Platform.

This role requires a blend of technical leadership, solution architecture, and business understanding, especially around cash flow and billing processes, to build enterprise-grade AI solutions that deliver measurable business value.

 

Key Responsibilities

  • Lead the end-to-end architecture, design, and implementation of Agentic AI and GenAI solutions across enterprise use cases
  • Define and implement GenAI architecture patterns, including RAG, LLM orchestration, and multi-agent workflows
  • Design and develop agentic AI frameworks involving orchestrator agents, tool usage, reasoning pipelines, and validation layers
  • Build scalable AI solutions using LLMs (OpenAI, Gemini, Vertex AI, etc.) integrated with enterprise systems
  • Collaborate with business stakeholders to translate cash, billing, and financial processes into AI-driven automation use cases
  • Drive AI strategy, roadmap, and governance, including responsible AI, evaluation, and monitoring
  • Provide technical leadership and mentorship to AI/ML engineers and architects
  • Lead POCs, accelerators, and production deployments of GenAI-based systems
  • Ensure performance optimization, cost efficiency, and scalability of AI solutions in cloud environments
  • Work closely with data engineering teams for data pipelines, vector databases, and embeddings architecture

 

Must-Have Skills & Experience

  • 12–15 years of total experience with strong exposure to AI/ML and software engineering
  • Hands-on experience in Agentic AI projects (multi-agent systems, orchestration, autonomous workflows)
  • Deep expertise in Generative AI architecture and LLM-based systems
  • Strong programming skills in Python (LLM integrations, frameworks, APIs)
  • Strong hands-on experience with Vertex AI and Google Cloud Platform ecosystem
  • Expertise in LLM frameworks (LangChain, LangGraph, Semantic Kernel, etc.)
  • Experience in building: 
    • RAG pipelines
    • Prompt engineering & context engineering
    • Vector database integrations
  • Solid understanding of enterprise architecture patterns for GenAI platforms 
  • Good knowledge of cash flow, billing, and financial business processes
  • Experience in designing scalable, production-grade AI systems

 

Good to Have

  • Experience with multi-cloud environments (Azure, AWS, Google Cloud Platform)
  • Knowledge of MLOps / LLMOps / GenAI Ops practices
  • Exposure to AI governance, security, and compliance frameworks
  • Experience with fine-tuning, evaluation frameworks, and observability tools
  • Prior experience in client-facing roles or consulting environments

 

Leadership & Soft Skills

  • Strong stakeholder management and communication skills
  • Ability to translate complex AI concepts into business outcomes
  • Proven experience in leading and mentoring high-performing teams
  • Strong problem-solving and decision-making capabilities

AI Lead2Generative AIN/AC2C,W-2,1099,C2H,Part Time,Full Time,Other,Intern,Pass Through,Contract,SOLUTIONS,Hourly,Contract to Perm,W2,W2 - Profit Sharing,Sub-con,Permanent,Full TImeUnited States

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