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Ai Engineer Intern Jobs in Connecticut (NOW HIRING)

Role Summary We are looking for an enthusiastic Intern Software Engineer to support the AI/LLM initiative team. You will assist in various aspects of the software development lifecycle, including ...

Essential Functions * Assist Software Engineering with design, development and verification of ... Familiarity with technologies like Cloud, AI, ML etc. Experience * Not required, but prior ...

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Ai Engineer Intern information

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How much do ai engineer intern jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for ai engineer intern in Connecticut is $24.18, according to ZipRecruiter salary data. Most workers in this role earn between $19.66 and $27.45 per hour, depending on experience, location, and employer.

What does an AI Engineer Intern do?

An AI Engineer Intern assists in designing, developing, and testing artificial intelligence models and algorithms under the supervision of experienced engineers. Their tasks may include data preprocessing, building machine learning models, evaluating model performance, and collaborating with cross-functional teams. Interns often work on real-world projects, gaining hands-on experience with AI tools and technologies such as Python, TensorFlow, or PyTorch. The internship provides valuable insight into the AI development lifecycle and helps interns build foundational skills for a career in artificial intelligence.

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

To thrive as an AI Engineer Intern, you need a solid grounding in computer science fundamentals, programming (especially Python), and a basic understanding of machine learning algorithms, often supported by coursework or personal projects. Familiarity with tools and frameworks like TensorFlow, PyTorch, and Git, as well as experience with data analysis libraries such as NumPy and pandas, is typically expected. Strong problem-solving abilities, curiosity, and effective communication skills help interns stand out when collaborating and learning in fast-paced environments. These skills and qualities are crucial for quickly adapting to technical challenges and contributing meaningfully to AI development projects.

What are some common challenges an AI Engineer Intern might face during their internship?

As an AI Engineer Intern, you may encounter challenges such as adapting to complex codebases, understanding large datasets, and balancing theoretical concepts with practical implementation. It’s common to work on projects where requirements or data may change rapidly, requiring flexibility and problem-solving skills. Additionally, collaborating with cross-functional teams like data scientists or software engineers can be an adjustment, as effective communication is key to integrating AI solutions into broader products.

How much do AI engineer interns make?

AI engineer interns typically earn between $15 and $30 per hour, depending on the company, location, and level of experience. Internships often provide valuable skills in machine learning, programming, and data analysis, and may include stipends or hourly wages aligned with industry standards.

What are the most commonly searched types of Ai Engineer jobs in Connecticut?

The most popular types of Ai Engineer jobs in Connecticut are:

What are popular job titles related to Ai Engineer Intern jobs in Connecticut?

For Ai Engineer Intern jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Ai Engineer Intern jobs in Connecticut look for?

The top searched job categories for Ai Engineer Intern jobs in Connecticut are:

What cities in Connecticut are hiring for Ai Engineer Intern jobs?

Cities in Connecticut with the most Ai Engineer Intern job openings:

Infographic showing various Ai Engineer Intern job openings in Connecticut as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $50,291 per year, or $24.2 per hour.

Software Engineer Intern - AI/LLM Initiative

WorldQuant

On-site

Full-time

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


Job description

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.

Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.

Project Overview

Join our AI/LLM initiative, a pioneering project focused on integrating Large Language Models (LLMs) with WorldQuant's strategy management tools. As an intern, you will contribute to building a platform that offers AI-assisted insights and automates tasks for Portfolio Managers. This is an opportunity to work on foundational infrastructure, data pipelines, and user-facing AI applications.

Role Summary

We are looking for an enthusiastic Intern Software Engineer to support the AI/LLM initiative team. You will assist in various aspects of the software development lifecycle, including development, testing, documentation, and data analysis. A key aspect of this role will involve supporting the deployment of new tools and providing assistance to end-users, particularly Portfolio Managers, during the installation and initial usage phases. This role offers a unique opportunity to gain hands-on experience with Python, API development, financial data systems, tool deployment processes, and cutting-edge AI technologies within a leading quantitative investment firm.

Key Responsibilities

​

  • Assist senior developers in the design, development, and testing of MCP server components and tools using Python.
  • Contribute to the enhancement of existing tools, potentially including our internal command-line data access tools, by addressing smaller bugs or implementing specific features under guidance.
  • Support the development of new MCPs by working on well-defined modules or tasks.
  • Facilitate the deployment of newly developed tools and software packages to user environments.
  • Collaborate with Portfolio Managers and other end-users to guide them through tool installation processes and provide initial user support.
  • Participate in unit testing and integration testing efforts, helping to ensure software quality.
  • Assist in data validation and reconciliation tasks for strategy metrics and features.
  • Help create and update technical documentation for MCPs, related systems, and user guides.
  • Support the investigation of data sources and assist in finalizing data specifications.
  • Collaborate with the team on debugging and troubleshooting technical issues
  • Gain exposure to financial data concepts (PnL, risk) and quantitative trading systems.

Qualifications

Core Skills

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Basic to intermediate proficiency in Python programming.
  • Understanding of software development principles and methodologies.
  • Familiarity with data structures and algorithms.

Domain-Specific Knowledge (Beneficial but not required, strong willingness to learn is key)

  • Interest in finance, quantitative trading, or financial data.
  • Basic understanding of APIs and data formats like JSON or CSV.

Technical Environment Familiarity (Helpful)

  • Experience with Linux or a similar Unix-like operating system.
  • Familiarity with version control systems (e.g., Git).
  • Basic understanding of software deployment concepts.

Soft Skills

  • Strong analytical and problem-solving aptitude.
  • Eagerness to learn and a proactive attitude.
  • Excellent communication and interpersonal skills, with an ability to assist technical and non-technical users.
  • Good teamwork skills.
  • Attention to detail.

Internship Duration

  • Full time for a period of 4 to 6 months starting Aug 2025 

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Copyright © 2025 WorldQuant, LLC. All Rights Reserved.

WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.