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Ai Developer Intern Jobs in Edison, NJ (NOW HIRING)

KPF

Data & Systems Developer Intern

New York, NY · On-site

$22 - $25/hr

Role Overview We are looking for a curious and motivated Data & Systems Developer Intern to join ... You will work closely with our AI Systems Engineer and Junior Data & Systems Developer ...

Eulerity

Mobile iOS Developer Intern

New York, NY

$16 - $18/hr

At Eulerity, AI-first development isn't a buzzword - it's how we actually ship code. Our engineers use Claude Code, agentic coding workflows, and prompt engineering as core parts of their daily ...

Eulerity

Mobile iOS Developer Intern

New York, NY · On-site

$16 - $18/hr

At Eulerity, AI-first development isn't a buzzword - it's how we actually ship code. Our engineers use Claude Code, agentic coding workflows, and prompt engineering as core parts of their daily ...

IBM

Intern Developer - Salesforce 2027

New York, NY · On-site

$21 - $27.50/hr

... AI/Prompt engineering. • Exposure to web services, API, and multiple Java application frameworks highly desired. • Knowledge or interest in best practices around design patterns, performance ...

Novocure

AI Intern - IP Operations

Boonton, NJ · On-site +1

$25/hr

AI Intern - IP Operations Hybrid (Remote Considered) | Full-Time Internship | Wayne, PA At Novocure ... Strong programming skills in Python * Ability to work independently while collaborating with cross ...

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How much do ai developer intern jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for ai developer intern in Edison, NJ is $23.70, according to ZipRecruiter salary data. Most workers in this role earn between $19.18 and $25.14 per hour, depending on experience, location, and employer.

What is an AI Developer Intern?

AI Developer Interns are students or recent graduates who assist in developing artificial intelligence solutions under the supervision of experienced engineers or data scientists. Their responsibilities often include data preprocessing, building and testing machine learning models, writing code, and participating in research or development projects. This internship provides hands-on experience with AI technologies and tools, helping interns gain practical skills for a career in artificial intelligence. Interns typically work with programming languages like Python, and frameworks such as TensorFlow or PyTorch.

What types of projects and responsibilities can an AI Developer Intern typically expect during their internship?

As an AI Developer Intern, you can expect to work on a range of projects such as building prototypes, supporting data pre-processing, and assisting with the development and testing of machine learning models. Interns often collaborate closely with data scientists, engineers, and product teams to integrate AI solutions into real-world applications. You may also be responsible for researching new algorithms, participating in code reviews, and presenting your findings to the team. This hands-on experience provides valuable exposure to the full AI development lifecycle and enhances your technical and teamwork skills.

What are the key skills and qualifications needed to thrive as an AI Developer Intern, and why are they important?

To thrive as an AI Developer Intern, you need a foundational knowledge of programming (especially Python), mathematics, and machine learning concepts, often supported by relevant coursework or project experience. Familiarity with tools like TensorFlow, PyTorch, Jupyter notebooks, and version control systems such as Git is highly valued. Strong problem-solving skills, eagerness to learn, and effective communication help interns collaborate and adapt in dynamic team environments. These skills are crucial for successfully contributing to AI projects and growing technical expertise in a fast-evolving field.

What is the difference between Ai Developer Intern vs Data Scientist Intern?

AspectAi Developer InternData Scientist Intern
Required CredentialsBasic programming skills, coursework in AI/ML, possibly some certificationsStatistics, programming, data analysis coursework, internships
Work EnvironmentTech companies, startups, research labs focusing on AI projectsData analysis teams, research groups, analytics departments
Employer & Industry UsageAI-focused companies, tech giants, startups developing AI productsFinance, healthcare, marketing, and tech firms analyzing data
Search & Comparison IntentUnderstanding roles in AI development, entry-level AI positionsExploring data analysis roles, entry-level data science positions

While both roles are entry-level and involve working with data and algorithms, an Ai Developer Intern primarily focuses on developing AI models and algorithms, whereas a Data Scientist Intern emphasizes analyzing data to extract insights. The choice depends on your interest in building AI systems versus analyzing data to inform decisions.

How to become an AI Developer Intern?

To become an AI Developer Intern, candidates typically need a strong foundation in programming languages such as Python, knowledge of machine learning frameworks like TensorFlow or PyTorch, and understanding of algorithms and data structures. Gaining relevant experience through projects, coursework, or certifications in AI and machine learning can improve chances, along with a bachelor's degree in computer science, data science, or related fields. Internships often require applying through company portals or job boards and may have specific prerequisites depending on the organization.

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Ai Developer Intern jobs near you

Data & Systems Developer Intern

KPF

New York, NY • On-site

$22 - $25/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago

Job description

KPF is a global architecture and urban design firm known for its innovative approach to the built environment. We are committed to integrating cutting-edge technology into our design process, and we are building an internal data and systems capability to enhance how we work, collaborate, and deliver world-class architecture.
Role Overview
We are looking for a curious and motivated Data & Systems Developer Intern to join our technology team for a summer or semester engagement. In this role, you will get hands-on experience building data pipelines, working with APIs, developing lightweight internal tools, and supporting the infrastructure that powers KPF's AI systems.
You will work closely with our AI Systems Engineer and Junior Data & Systems Developer, contributing to real projects from day one. This is not a passive internship - you will write real code, work with real data, and build things that are actually used.
You will gain hands-on exposure to AI systems, including large language models, retrieval-augmented generation, vector databases, and agentic tools through direct collaboration with our team. This is a role where you'll build real, marketable AI and data engineering skills on the job.
What You'll Work On
Data Pipelines & Data Management
  • Assist in building and maintaining ETL/ELT data pipelines to collect, transform, and load data from internal and external sources
  • Help clean, validate, and structure data to ensure quality and consistency across systems
  • Write SQL queries to extract, transform, and report on data from relational databases (MSSQL, PostgreSQL, MySQL, or similar)
  • Help document data flows, schemas, and pipeline logic

API Integration
  • Connect to and consume REST APIs to pull and process data
  • Assist in building lightweight Python scripts and integrations to automate data collection workflows
  • Learn to handle authentication, pagination, rate limiting, and error handling in API integrations

Web Development & Internal Tools
  • Contribute to simple internal web applications and dashboards built with Flask or FastAPI
  • Help build basic frontend interfaces (HTML/CSS/JavaScript) to expose data and tools to internal users
  • Collaborate with team members to understand needs and iterate on practical solutions

Cloud & Infrastructure Basics
  • Get hands-on experience deploying on AWS using core services such as EC2, S3, and RDS
  • Learn to containerize applications using Docker
  • Follow best practices for environment configuration and basic security

AI Systems Exposure (Learning Opportunity)
  • Assist in preparing and structuring data for ingestion into AI and LLM pipelines (e.g., document chunking, metadata tagging, embedding-ready formatting)
  • Help maintain vector store data ingestion workflows (uploading documents, refreshing indexes)
  • Support the team with data tasks related to RAG (Retrieval-Augmented Generation) systems
  • Gain exposure to knowledge bases and structured data sources that feed conversational AI tools
  • Assist with testing and validating data quality within AI-powered applications

What We're Looking For
Must-Have
  • Python - basic to intermediate proficiency; comfortable writing scripts and small programs
  • SQL - ability to write queries; some experience with relational databases
  • REST APIs - basic understanding of how APIs work; some experience consuming them
  • Git - basic version control; comfortable committing and collaborating on a shared codebase
  • Currently enrolled in a Bachelor's or Master's program in Computer Science, Information Systems, Data Science, or a related field

Nice-to-Have
  • Any exposure to Flask or FastAPI - even a course project counts
  • Basic familiarity with AWS or any cloud platform
  • Some experience with Docker or containerization concepts
  • Exposure to data visualization tools or libraries (D3, Chart.js, etc.)
  • Basic familiarity with LLMs and AI concepts (embeddings, vector search, RAG)
  • Experience with AI coding tools like Claude Code, Cursor, or GitHub Copilot
  • Interest or background in AEC (Architecture, Engineering & Construction) or creative industries

What We're Looking For in a Candidate
  • Genuinely curious and self-motivated - you explore things on your own and enjoy figuring things out
  • Not afraid to ask questions - we'd rather you ask than guess
  • Comfortable in a small, collaborative team where everyone's contribution matters
  • Detail-oriented - you care about getting things right, not just getting them done
  • Able to communicate clearly with team members, including non-technical colleagues
  • A builder mindset - you get excited about creating things that solve real problems

Pay Range:
$22.00 - $25.00 Hourly
Why KPF?
KPF's mission is to elevate cities through impactful design, collaborating closely with the world's most forward-thinking clients to create high performing, carefully crafted buildings that are unique to their physical, social, and environmental contexts.
  • Career Growth: Opportunities for training, development, and career progression.
  • Company Culture: Collaborative, high-performance environment with a focus on innovation and excellence.
  • Benefits: Comprehensive health insurance, including medical, dental, and vision insurance, 401k with company matching contributions, paid time off and other perks.

To Apply:
Applications submitted without a resume will not be considered.
KPF is an equal opportunity employer.

Apply