Entry Level AI Intern Jobs
New grad ai intern jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or hands-on project work can matter more than a long resume. Most openings mix on-site, remote, and hybrid settings across Technology & Software, Automotive, and Manufacturing, with employers like TikTok, WilmerHale, and KLA hiring at this level now.
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Showing 5 of 31+ Entry Level AI Intern jobs
About us
Think BIG. Achieve More. At City National Bank of Florida, we invest in our people and the communities we serve. Join a team where ambitious careers and meaningful relationships thrive together. We’re entrepreneurs at heart—growing fast, making an impact, and shaping the future of banking in Florida. To learn more about City National Bank of Florida visit About Us!
Overview
City National Bank of Florida is seeking a hands-on Machine Learning / AI Engineer to develop enterprise-grade AI applications, retrieval-augmented generation (RAG) systems, and agentic AI workflows. The engineer will work on real banking use cases involving financial document analysis, credit writing, enterprise knowledge retrieval, risk and fraud prevention, and employee productivity. The ideal candidate combines strong Python software engineering skills with practical experience building, testing, and deploying LLM-powered applications. This is a development-focused role, not a pure research or experimentation position.
- Design, develop, test, and maintain production-quality Python applications for generative AI and applied machine learning.
- Build RAG pipelines using document ingestion, parsing, chunking, embeddings, metadata filtering, hybrid search, reranking, and grounded response generation.
- Develop AI agents and workflow components using LangChain v1 and LangGraph.
- Integrate Azure OpenAI models and Azure AI Search into enterprise AI applications.
- Implement structured outputs using Pydantic, schema validation, deterministic business rules, and robust error handling.
- Build document validation, financial data extraction, summarization, classification, and analysis components.
- Implement automated evaluation datasets and tests to measure retrieval quality, answer correctness, grounding, and regression.
- Develop REST APIs and backend services using FastAPI or an equivalent Python framework.
- Write unit tests, integration tests, and mock-based tests; participate in code reviews and continuous integration.
- Implement secure handling of sensitive banking information, prompt-injection defenses, input validation, and appropriate AI guardrails.
- Deploy containerized applications and contribute to Azure monitoring, logging, troubleshooting, and performance optimization.
- Collaborate with senior engineers, AI leadership, business stakeholders, and risk and compliance teams.
Qualifications
Programming and software engineering
- 4–5 years of professional software development experience, with strong hands-on Python proficiency.
- Strong knowledge of object-oriented programming, data structures, algorithms, modular design, and clean-code principles.
- Experience with FastAPI, REST APIs, Pydantic, SQL, Git, pytest, and debugging.
Generative AI and machine learning
- Practical experience building LLM-powered applications using OpenAI, Azure OpenAI, or comparable model APIs.
- Understanding of transformers, embeddings, tokenization, semantic search, and model inference.
- Hands-on experience with RAG, including document ingestion, chunking strategies, retrieval, grounding, and evaluation.
- Experience with LangChain, LangGraph, or comparable orchestration frameworks. Direct LangGraph experience is strongly preferred.
- Experience with prompt design, structured generation, function/tool calling, and output validation.
- Ability to measure and improve AI quality rather than relying solely on subjective demonstrations.
Cloud and engineering practices
- Experience with Azure or another major cloud platform; Azure experience is preferred.
- Familiarity with Docker, CI/CD, application logging, monitoring, and automated testing.
- Ability to troubleshoot API failures, retrieval defects, latency, token usage, and model-related errors.
Preferred Qualifications
- Experience with Azure AI Search, hybrid search, reranking, or vector databases.
- Experience building AI agents that call enterprise APIs and tools.
- Familiarity with Model Context Protocol (MCP).
- Experience with PostgreSQL, Azure Blob Storage, or document-processing pipelines.
- Experience in banking, financial services, lending, fraud, or another regulated industry.
- Familiarity with responsible AI, data privacy, and auditability.
Education
- Bachelor's Degree in computer science, data science, engineering, applied mathematics/statistics, information systems, or a related quantitative field (or equivalent combination of education and experience).
- Master's Degree preferred.
Benefits & Perks
We offer a competitive benefits package designed to support your success:
- Health Coverage: Medical, dental, and vision plans with employer contributions.
- Retirement Savings: 401(k) with matching.
- Paid Time Off & Holidays: Generous PTO and paid holidays.
- Wellness Support: Access to mental health and financial wellness resources. Visit our benefits page to learn more Benefits!
Join City National Bank of Florida. The possibilities are endless.
Special Information To Candidates
Equal Opportunity
City National Bank of Florida is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, protected veteran status, or any status protected by federal, state, or Florida law. We comply with the ADA and applicable Florida laws.
Interview Guidelines
To ensure a fair and consistent interview process, applicants are not permitted to use AI-enabled devices during interviews, including AI glasses or similar wearable technology that can record, transmit, or generate real-time information. Applicants who require a reasonable accommodation to participate in the interview process should contact talent.attraction@citynational.com in advance of the interview to submit an accommodation request. City National Bank of Florida will engage in the interactive process and provide reasonable accommodations in accordance with applicable law.
About us
Think BIG. Achieve More. At City National Bank of Florida, we invest in our people and the communities we serve. Join a team where ambitious careers and meaningful relationships thrive together. We’re entrepreneurs at heart—growing fast, making an impact, and shaping the future of banking in Florida. To learn more about City National Bank of Florida visit About Us!
Overview
City National Bank of Florida is seeking a hands-on Machine Learning / AI Engineer to develop enterprise-grade AI applications, retrieval-augmented generation (RAG) systems, and agentic AI workflows. The engineer will work on real banking use cases involving financial document analysis, credit writing, enterprise knowledge retrieval, risk and fraud prevention, and employee productivity. The ideal candidate combines strong Python software engineering skills with practical experience building, testing, and deploying LLM-powered applications. This is a development-focused role, not a pure research or experimentation position.
- Design, develop, test, and maintain production-quality Python applications for generative AI and applied machine learning.
- Build RAG pipelines using document ingestion, parsing, chunking, embeddings, metadata filtering, hybrid search, reranking, and grounded response generation.
- Develop AI agents and workflow components using LangChain v1 and LangGraph.
- Integrate Azure OpenAI models and Azure AI Search into enterprise AI applications.
- Implement structured outputs using Pydantic, schema validation, deterministic business rules, and robust error handling.
- Build document validation, financial data extraction, summarization, classification, and analysis components.
- Implement automated evaluation datasets and tests to measure retrieval quality, answer correctness, grounding, and regression.
- Develop REST APIs and backend services using FastAPI or an equivalent Python framework.
- Write unit tests, integration tests, and mock-based tests; participate in code reviews and continuous integration.
- Implement secure handling of sensitive banking information, prompt-injection defenses, input validation, and appropriate AI guardrails.
- Deploy containerized applications and contribute to Azure monitoring, logging, troubleshooting, and performance optimization.
- Collaborate with senior engineers, AI leadership, business stakeholders, and risk and compliance teams.
Qualifications
Programming and software engineering
- 4–5 years of professional software development experience, with strong hands-on Python proficiency.
- Strong knowledge of object-oriented programming, data structures, algorithms, modular design, and clean-code principles.
- Experience with FastAPI, REST APIs, Pydantic, SQL, Git, pytest, and debugging.
Generative AI and machine learning
- Practical experience building LLM-powered applications using OpenAI, Azure OpenAI, or comparable model APIs.
- Understanding of transformers, embeddings, tokenization, semantic search, and model inference.
- Hands-on experience with RAG, including document ingestion, chunking strategies, retrieval, grounding, and evaluation.
- Experience with LangChain, LangGraph, or comparable orchestration frameworks. Direct LangGraph experience is strongly preferred.
- Experience with prompt design, structured generation, function/tool calling, and output validation.
- Ability to measure and improve AI quality rather than relying solely on subjective demonstrations.
Cloud and engineering practices
- Experience with Azure or another major cloud platform; Azure experience is preferred.
- Familiarity with Docker, CI/CD, application logging, monitoring, and automated testing.
- Ability to troubleshoot API failures, retrieval defects, latency, token usage, and model-related errors.
Preferred Qualifications
- Experience with Azure AI Search, hybrid search, reranking, or vector databases.
- Experience building AI agents that call enterprise APIs and tools.
- Familiarity with Model Context Protocol (MCP).
- Experience with PostgreSQL, Azure Blob Storage, or document-processing pipelines.
- Experience in banking, financial services, lending, fraud, or another regulated industry.
- Familiarity with responsible AI, data privacy, and auditability.
Education
- Bachelor's Degree in computer science, data science, engineering, applied mathematics/statistics, information systems, or a related quantitative field (or equivalent combination of education and experience).
- Master's Degree preferred.
Benefits & Perks
We offer a competitive benefits package designed to support your success:
- Health Coverage: Medical, dental, and vision plans with employer contributions.
- Retirement Savings: 401(k) with matching.
- Paid Time Off & Holidays: Generous PTO and paid holidays.
- Wellness Support: Access to mental health and financial wellness resources. Visit our benefits page to learn more Benefits!
Join City National Bank of Florida. The possibilities are endless.
Special Information To Candidates
Equal Opportunity
City National Bank of Florida is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, protected veteran status, or any status protected by federal, state, or Florida law. We comply with the ADA and applicable Florida laws.
Interview Guidelines
To ensure a fair and consistent interview process, applicants are not permitted to use AI-enabled devices during interviews, including AI glasses or similar wearable technology that can record, transmit, or generate real-time information. Applicants who require a reasonable accommodation to participate in the interview process should contact talent.attraction@citynational.com in advance of the interview to submit an accommodation request. City National Bank of Florida will engage in the interactive process and provide reasonable accommodations in accordance with applicable law.
See All 31 Entry Level AI Intern Jobs
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Find Entry Level AI Intern JobsEntry Level AI Intern Job Market
Who's Hiring
- TikTok10
- WilmerHale2
- KLA1
- Nuro1
- Intuit1
Top Industries Hiring
- Technology & Software15
- Automotive2
- Manufacturing2
- Law & Legal Services2
- Electronics & Hardware2
Entry Level AI Intern Jobs: Frequently Asked Questions
How do I get an entry level ai intern job?
Entry level ai intern roles typically look for candidates who can demonstrate hands-on work: class projects, personal machine learning builds, or short internships carry real weight at this stage. Familiarity with Python, basic model training, and data handling gives candidates a clear edge. A focused portfolio showing one or two completed projects, even small ones, often matters more to hiring managers than a polished resume alone.
Which companies hire entry level ai interns?
Companies hiring entry level ai interns right now include TikTok, WilmerHale, and KLA, based on current listings on Migrate Mate as of November 2026. Hiring covers startups building early AI products, mid-size tech firms scaling their data teams, and larger enterprises running structured internship programs that explicitly welcome candidates at the entry level.
Are there remote entry level ai intern jobs?
Yes, remote and hybrid options are a real part of this market. About 10% of entry level ai intern openings are remote or hybrid as of November 2026, making it practical for new grads to apply without relocating. On-site roles still exist, particularly at companies that prefer interns to work directly with their research or engineering teams.
Are these new grad ai intern jobs?
Yes, the ai intern roles on this page include new grad, recent graduate, and junior positions. A new grad friendly posting typically welcomes zero to two years of experience and treats internships, coursework projects, or a portfolio as qualifying credentials alongside a degree. If a listing does not require prior professional experience, it is a strong signal that it is built for new grads entering the field for the first time.
Which industries hire the most entry level ai interns?
Entry Level ai intern roles concentrate in Technology & Software, Automotive, and Manufacturing, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they are actively building out AI capabilities and need early-career talent who can support model development, data labeling, research assistance, and applied experimentation without requiring senior-level autonomy from day one.