Entry Level AI Developer Jobs
New grad ai developer jobs connect recent graduates and entry level candidates with 0 to 2 years of experience to their first professional role, where a strong portfolio or hands-on internship work can carry more weight than a lengthy resume. Most openings mix on-site, remote, and hybrid settings across Technology & Software, Consulting & Professional Services, and Energy, with employers like Wipro, JPMorganChase, and Apple hiring at this level now.
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Showing 5 of 24+ Entry Level AI Developer jobs
Job Description: AI/ML Engineer
Full-Time Position
IT – Technology
Job Title: Artificial Intelligence / Machine Learning Engineer
Department: Information Technology / Engineering
Experience: 2–5 Years (depending on company requirements)
Job Location: USA / Remote / Hybrid
1. Job Summary
We are looking for a skilled AI/ML Engineer to design, develop, and implement artificial intelligence and machine learning solutions. The ideal candidate will work with large datasets, build predictive models, develop intelligent applications, and improve existing systems using machine learning algorithms and deep learning techniques.
2. Roles and Responsibilities
- Design, develop, and deploy machine learning models and AI-based applications.
- Collect, clean, process, and analyze large datasets.
- Develop predictive models using machine learning algorithms.
- Implement deep learning techniques for complex data analysis.
- Work with Natural Language Processing (NLP) and computer vision technologies.
- Build and optimize AI models to improve accuracy and performance.
- Collaborate with data scientists, software developers, and engineering teams.
- Integrate AI/ML models into existing applications and business systems.
- Monitor deployed models and improve their performance.
- Research emerging AI technologies and industry trends.
3. Required Technical Skills
- Programming Languages: Python, R, Java, C++.
- Machine Learning: Scikit-learn, TensorFlow, PyTorch, Keras.
- Data Processing: Pandas, NumPy, SQL.
- Deep Learning: Neural Networks, CNN, RNN.
- AI Technologies: Generative AI, Large Language Models (LLMs), NLP.
- Cloud Platforms: AWS, Microsoft Azure, Google Cloud.
- Data Visualization: Tableau, Power BI, Matplotlib.
- Tools: Jupyter Notebook, Git, Docker, Kubernetes.
4. Educational Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong understanding of mathematics, statistics, and computer science fundamentals.
5. Preferred Skills
- Experience developing and deploying AI/ML models.
- Knowledge of cloud-based machine learning platforms.
- Understanding of MLOps and model lifecycle management.
- Experience working with large-scale datasets.
- Strong analytical, problem-solving, and communication skills.
6. Key Performance Indicators (KPIs)
- Model accuracy and prediction performance.
- Efficiency of AI/ML model deployment.
- Reduction in processing time.
- Quality and reliability of developed AI solutions.
- Successful integration of AI models into business applications.
Job Description: AI/ML Engineer
Full-Time Position
IT – Technology
Job Title: Artificial Intelligence / Machine Learning Engineer
Department: Information Technology / Engineering
Experience: 2–5 Years (depending on company requirements)
Job Location: USA / Remote / Hybrid
1. Job Summary
We are looking for a skilled AI/ML Engineer to design, develop, and implement artificial intelligence and machine learning solutions. The ideal candidate will work with large datasets, build predictive models, develop intelligent applications, and improve existing systems using machine learning algorithms and deep learning techniques.
2. Roles and Responsibilities
- Design, develop, and deploy machine learning models and AI-based applications.
- Collect, clean, process, and analyze large datasets.
- Develop predictive models using machine learning algorithms.
- Implement deep learning techniques for complex data analysis.
- Work with Natural Language Processing (NLP) and computer vision technologies.
- Build and optimize AI models to improve accuracy and performance.
- Collaborate with data scientists, software developers, and engineering teams.
- Integrate AI/ML models into existing applications and business systems.
- Monitor deployed models and improve their performance.
- Research emerging AI technologies and industry trends.
3. Required Technical Skills
- Programming Languages: Python, R, Java, C++.
- Machine Learning: Scikit-learn, TensorFlow, PyTorch, Keras.
- Data Processing: Pandas, NumPy, SQL.
- Deep Learning: Neural Networks, CNN, RNN.
- AI Technologies: Generative AI, Large Language Models (LLMs), NLP.
- Cloud Platforms: AWS, Microsoft Azure, Google Cloud.
- Data Visualization: Tableau, Power BI, Matplotlib.
- Tools: Jupyter Notebook, Git, Docker, Kubernetes.
4. Educational Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong understanding of mathematics, statistics, and computer science fundamentals.
5. Preferred Skills
- Experience developing and deploying AI/ML models.
- Knowledge of cloud-based machine learning platforms.
- Understanding of MLOps and model lifecycle management.
- Experience working with large-scale datasets.
- Strong analytical, problem-solving, and communication skills.
6. Key Performance Indicators (KPIs)
- Model accuracy and prediction performance.
- Efficiency of AI/ML model deployment.
- Reduction in processing time.
- Quality and reliability of developed AI solutions.
- Successful integration of AI models into business applications.
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Who's Hiring
Top Industries Hiring
- Technology & Software11
- Consulting & Professional Services4
- Energy1
- Education1
- Insurance1
Entry Level AI Developer Jobs: Frequently Asked Questions
How do I get an entry level ai developer job?
Build a portfolio that shows real projects: a fine-tuned language model, a computer vision demo, or a deployed API that uses a public ML library. Employers at this level look for Python proficiency, familiarity with frameworks like TensorFlow or PyTorch, and evidence you can move from a notebook experiment to working code. Internship experience and open-source contributions both strengthen an application when your resume is thin.
Which companies hire entry level ai developers?
Companies hiring entry level ai developers right now include Wipro, JPMorganChase, and Apple, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a wide range of employers, including tech startups building their first AI products, mid-size software companies adding ML features, and large enterprises with dedicated AI or data science teams.
Are there remote entry level ai developer jobs?
Yes, though availability varies by employer and role type. About 27% of entry level ai developer openings are remote or hybrid as of November 2026, so options exist across work settings. Entry level candidates often find that hybrid roles offer the onboarding support and mentorship that can accelerate growth in a first job.
Are these new grad ai developer jobs?
Yes, these roles include new grad, recent graduate, and junior ai developer positions. A posting is typically new-grad friendly when it welcomes 0 to 2 years of experience, counts internships or academic projects toward that experience, or explicitly accepts a strong portfolio in place of professional history. Searching for junior or new grad openings alongside entry level returns the broadest set of beginner-accessible roles.
Which industries hire the most entry level ai developers?
Entry Level ai developer roles concentrate in Technology & Software, Consulting & Professional Services, and Energy, based on current listings on Migrate Mate as of November 2026. Those sectors drive early-career hiring because they are actively building or expanding AI capabilities and need junior developers who can contribute to model development, data pipelines, and application integration from day one.