AI Intern Jobs
AI Intern jobs are open across technology, healthcare, finance, and research organizations, from undergraduate to graduate level, with specializations in machine learning, natural language processing, and computer vision. See the openings below and apply to the ones that match your experience.
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Showing 5 of 331+ AI Intern jobs
Job Responsibilities:
- Collaborate with the team to design and develop high quality Web applications using Python, Flask, Django, and related technologies.
- Write clean and efficient code, and ensure code maintainability and reusability.
- Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding).
- Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks.
- Perform code reviews to ensure code quality and consistency.
- Conduct testing to ensure application quality and reliability.
- Create and maintain technical documentation for web applications.
- Participate in project planning, estimation, and prioritization.
- Stay up to date with the latest technologies for Python development.
- Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding checks), and improve system quality iteratively.
- Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices.
Requirement:
- Experience in software development in Python3.
- Decent understanding of the software development/testing life cycle.
- Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc).
- Experience with version control tools, such as Git.
- Experience building RAG solutions (hybrid search, reranking, chunking strategies, embeddings, prompt + schema design).
- Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool/function calling patterns.
- Solid knowledge of vector search concepts and at least one vector DB in production.
- Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability mindset.
Preferred Qualifications:
- Master’s Degree in Computer Science, Software Engineering, or related field.
- 1+ year professional experience in Python web application development with either Flask or Django.
- Experience in RESTful API development in Python.
- Understanding of Python web application frameworks such as Flask or Django.
- Experience with Cloud services, such as AWS.
- Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, Cloud Run/GKE, storage).
- Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion).
- Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and multilingual retrieval.
- Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses), prompt/version management.
- Frontend integration (basic React/Next.js) or platform enablement (internal developer tooling).
BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).
Job Responsibilities:
- Collaborate with the team to design and develop high quality Web applications using Python, Flask, Django, and related technologies.
- Write clean and efficient code, and ensure code maintainability and reusability.
- Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding).
- Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks.
- Perform code reviews to ensure code quality and consistency.
- Conduct testing to ensure application quality and reliability.
- Create and maintain technical documentation for web applications.
- Participate in project planning, estimation, and prioritization.
- Stay up to date with the latest technologies for Python development.
- Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding checks), and improve system quality iteratively.
- Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices.
Requirement:
- Experience in software development in Python3.
- Decent understanding of the software development/testing life cycle.
- Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc).
- Experience with version control tools, such as Git.
- Experience building RAG solutions (hybrid search, reranking, chunking strategies, embeddings, prompt + schema design).
- Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool/function calling patterns.
- Solid knowledge of vector search concepts and at least one vector DB in production.
- Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability mindset.
Preferred Qualifications:
- Master’s Degree in Computer Science, Software Engineering, or related field.
- 1+ year professional experience in Python web application development with either Flask or Django.
- Experience in RESTful API development in Python.
- Understanding of Python web application frameworks such as Flask or Django.
- Experience with Cloud services, such as AWS.
- Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, Cloud Run/GKE, storage).
- Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion).
- Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and multilingual retrieval.
- Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses), prompt/version management.
- Frontend integration (basic React/Next.js) or platform enablement (internal developer tooling).
BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).
AI Intern Jobs by Experience Level
Top Cities Hiring AI Interns
Explore AI intern openings in the cities hiring most right now.
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Who's Hiring
- Booz Allen Hamilton12
- JPMorganChase10
- TikTok9
- Citi4
- Leidos4L
Top Industries Hiring
- Technology & Software28
- Education13
- Banking & Financial Services10
- Investment & Asset Management9
- Healthcare & Medical Services6
What Employers Look For
The qualifications that appear most often in AI intern jobs.
- Proficiency in Python and at least one ML framework such as PyTorch or TensorFlow
- Currently enrolled in or recently completed a bachelor's or master's degree in computer science, data science, or a related field
- Hands-on experience building, training, or fine-tuning machine learning models
- Familiarity with data manipulation libraries such as pandas and NumPy
- Ability to work with large datasets and perform exploratory data analysis
- Strong written and verbal communication skills for presenting model results to non-technical stakeholders
Tips for Your AI Intern Job Search
Tailor your resume to model types
Hiring managers for ai intern roles scan for the specific model frameworks you've worked with. Call out PyTorch, TensorFlow, or Hugging Face experience by name rather than listing 'machine learning' as a generic skill.
Build a public project portfolio now
Many ai intern applicants get screened out before interviews because they have no visible work. Push at least two end-to-end projects to a public code repository before you apply, even if the datasets are small or synthetic.
Target roles that match your compute access
Some ai intern positions require working with large-scale GPU clusters from day one. If you've only trained on a laptop or free cloud tiers, focus your search on teams that explicitly mention prototyping or research-stage work.
Apply early to roles that fit
Migrate Mate lists ai intern openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare for a technical screen on ML fundamentals
Most ai intern interviews include a live coding or take-home assessment covering gradient descent, loss functions, or data preprocessing. Practicing these on a whiteboard out loud helps more than re-reading theory, because interviewers are evaluating how you reason through problems.
Follow up with your hiring contact once
A single, concise follow-up email three to five business days after submitting your application keeps your name in front of the reviewer without coming across as pushy. Reference one specific project or research area from the job description to show genuine interest.
AI Intern Jobs: Frequently Asked Questions
Which companies are hiring the most ai interns?
The most active employers for ai interns right now are Booz Allen Hamilton, JPMorganChase, and TikTok, and the most openings are in California, Texas, and New York, based on current listings on Migrate Mate as of August 2026. Openings tend to cluster at large technology companies, research labs, and healthcare and finance organizations investing in applied AI.
How many ai intern jobs are remote?
About 44% of ai intern openings are fully remote or hybrid as of August 2026, reflecting how much of the work happens through cloud-based development environments. Research-focused and natural language processing roles tend to be the most remote-friendly, while computer vision and robotics internships more often require on-site access to hardware and lab equipment.
How do you become an ai intern?
Start by building a foundation in Python, linear algebra, and statistics, then work through hands-on projects in machine learning using publicly available datasets. Take at least one structured course in deep learning to understand model architectures. Push completed projects to a public code repository, apply to entry-level ai intern openings that match your stack, and be ready to walk through your code and explain your design decisions in a technical interview.
Can you land an ai intern role with little or no professional experience?
Yes, many ai intern positions are designed for candidates who have academic projects and coursework but no prior job experience. Employers hiring at the intern level evaluate your ability to learn quickly rather than your work history. A strong code repository with documented projects, a clear explanation of the problem each project solved, and solid performance on a take-home assessment can outweigh a thin resume in most screening processes.
What does the ai intern interview process look like?
Most ai intern interview processes include an initial recruiter screen, a technical assessment covering coding and machine learning fundamentals, and one or two interviews with engineers or research scientists. The technical screen often involves writing Python code to preprocess data or implement a model component. Some teams also ask candidates to walk through a past project, explain their design choices, and discuss how they would improve it given more time or data.
Where can I find and apply to ai intern jobs?
You can find and apply to ai intern jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your skills and experience level, then apply directly to each listing that fits. Checking back regularly helps you catch newly posted positions before they fill.
See All 331+ AI Intern Jobs
Find roles that match your experience and apply in just a few clicks.
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