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World Wide Land Transfer

AI Software Developer Intern

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Recruitment began on June 26, 2026
and the job listing Expires on July 27, 2026
Internship
Apply Now

AI Software Developer Intern

About World Wide Land Transfer

World Wide Land Transfer (WWLT) is a nationally recognized title insurance agency serving residential, commercial, and institutional clients across the country. We are known for delivering exceptional service, operational excellence, and forward-thinking innovation.

As part of our continued investment in technology, we are building cutting-edge AI solutions to streamline operations, enhance decision-making, and drive business growth.

Position Summary

  • WWLT is seeking a highly motivated **AI Software Developer Intern** to support the design, development, and implementation of AI-powered applications and automation tools.
  • This is a hands-on opportunity to work directly with leadership and contribute to real-world AI initiatives using modern technologies such as large language models (LLMs), agent frameworks, and retrieval-based systems.
  • The ideal candidate has a strong technical foundation, a curiosity for emerging AI technologies, and a desire to apply those tools in a business environment.

What You’ll Do

  • Assist in developing AI-powered applications using modern LLMs (GPT-5 class models, Claude, etc.)
  • Support the design and implementation of AI agents and automation workflows
  • Help build and maintain RAG (Retrieval-Augmented Generation) pipelines and knowledge systems
  • Contribute to backend development in Python and/or .NET
  • Integrate AI tools with internal systems and APIs
  • Test, debug, and optimize system performance
  • Research emerging AI technologies and propose practical applications for the business

Required Qualifications

  • Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, or a related field
  • Experience working with modern LLMs (GPT, Claude, or similar)
  • Familiarity with agent frameworks (AutoGen, LangGraph, CrewAI, or similar)
  • Understanding of RAG concepts and vector databases
  • Strong programming skills in Python
  • Basic experience building or working with REST APIs
  • Familiarity with cloud platforms such as AWS or Azure
  • Strong problem-solving and analytical skills

Preferred Qualifications

  • Experience with .NET / C# / ASP.NET Core
  • Familiarity with API security (OAuth2, JWT, IAM, Azure AD)
  • Experience integrating systems via APIs or webhooks
  • Exposure to large datasets (structured and unstructured)
  • Interest or experience in real estate, title insurance, fintech, or regulated industries

What We’re Looking For

  • Curiosity and passion for AI and emerging technologies
  • Ability to translate ideas into practical technical solutions
  • Strong communication and collaboration skills
  • Willingness to learn quickly in a fast-paced environment
  • A “team-first” mindset with a focus on impact and execution

Why Join WWLT?

  • Work directly with leadership on high-impact AI initiatives
  • Gain hands-on experience with cutting-edge technologies
  • Opportunity to contribute to real business applications (not just theoretical work)
  • Collaborative and innovative team environment
  • Potential for long-term growth opportunities
Apply Now

Labor Market InsightsIn partnership withLightcast logo

Explore occupations by career categories and pathways and use real time labor market data to power your decision making.

First, choose an industry of interest, then filter for occupation. (If you'd like to see data for a specific location only, filter by state.)

  • 01 Occupation Description
  • 02 Employment Trends
  • 03 Top Employers
  • 04 Education Levels
  • 05 Annual Earnings
  • 06 Technical Skills
  • 07 Core Competencies
  • 08 Job Titles

Occupation Description

Employment Trends

The number of jobs in the career for the past two years, the current year, and projections for the next 10 years. Job counts include both employed and self-employed persons, and do not distinguish between full- and part-time jobs. Sources include Emsi industry data, staffing patterns, and OES data.

Top Employers

These companies are currently hiring for .

    Education Levels

    The educational attainment percentage breakdown for a career (e.g. the percentage of people in the career who hold Bachelor’s Degrees vs. Associate Degrees). Educational attainment levels are provided by O*NET.

    Annual Earnings

    Earnings figures are based on OES data from the BLS and include base rate, cost of living allowances, guaranteed pay, hazardous-duty pay, incentive pay (including commissions and bonuses), on-call pay, and tips.

    Technical Skills

    A list of hard skills associated with a given career ordered by the number of unique job postings which ask for those skills.

      Core Competencies

      The skills for the career. The "importance" is how relevant the ability is to the occupation: scale of 1-5. The "level" is the proficiency required by the occupation: scale of 0-100. Results are sorted by importance first, then level.

        Job Titles

        A list of job titles for all unique postings in a given career, sorted by frequency.

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