The Infosys Generative AI Engineer Internship 2026 offers students practical exposure to generative artificial intelligence, machine learning, large language models (LLMs), Python, prompt engineering, APIs, and AI application development.
Infosys Generative AI Engineer Interns may work with AI engineers, machine learning professionals, software developers, data scientists, cloud engineers, and product teams.
According to the Stack Overflow Developer Survey 2025, 84% of respondents were using or planning to use AI tools in their development process, while 51% of professional developers reported using AI tools daily.
This highlights the growing role of AI tools in modern development workflows.
Interns can develop skills in Python, generative AI, LLMs, prompt engineering, APIs, machine learning fundamentals, data handling, Git, and AI application testing.
About Infosys Generative AI Engineer Internship
Infosys is a global technology services and consulting company working across software engineering, artificial intelligence, cloud computing, cybersecurity, and digital transformation.
The company helps organisations adopt technology solutions and develop digital capabilities.
Infosys reported 3,28,594 employees globally in FY2026 and revenue of ?1,78,650 crore.
Its technology teams work across artificial intelligence, digital platforms, cloud solutions, application development, data, and enterprise technology services.
With technology centres and delivery teams across India and international markets, Infosys works on a range of digital and AI initiatives.
Generative AI forms part of the wider artificial intelligence ecosystem, with potential applications in software development, business processes, data analysis, and enterprise solutions.
Eligibility
Candidates applying for the Infosys Generative AI Engineer Internship 2026 may need to meet requirements such as:
- Pursuing a bachelor’s, master’s, or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Information Technology, or a related field.
- Understanding Python programming.
- Familiarity with artificial intelligence and machine learning fundamentals.
- Understanding basic generative AI concepts.
- Familiarity with large language models.
- Basic knowledge of prompt engineering.
- Understanding of APIs and application integration.
- Familiarity with data structures and data handling.
- Basic knowledge of natural language processing can be beneficial.
- Understanding of Git and version control.
- Familiarity with cloud AI services can be useful.
- Basic knowledge of embeddings and vector databases can be an advantage.
- Understanding of AI model testing and evaluation.
- Strong analytical and problem-solving skills.
- Good written and verbal communication skills.
- Ability to work with AI engineers, developers, data professionals, and product teams.
Roles & Responsibilities
A Generative AI Engineer Intern at Infosys may be responsible for:
- Supporting the development of generative AI applications.
- Writing and testing Python code.
- Working with large language models and AI APIs.
- Creating and testing prompts.
- Assisting with AI model evaluation.
- Preparing and processing datasets.
- Supporting retrieval-augmented generation applications.
- Working with embeddings and vector databases.
- Integrating AI services into applications.
- Testing AI-generated outputs for quality and accuracy.
- Identifying application and model-related issues.
- Using Git for source code management.
- Supporting AI application performance improvements.
- Preparing technical and project documentation.
- Collaborating with AI engineers, developers, and data scientists.
- Participating in technical reviews.
- Presenting project findings and progress to supervisors.
Application Process
Candidates interested in the Infosys Generative AI Engineer Internship 2026 can follow these steps:
- Visit the official Infosys Careers website and search for Generative AI Engineer internship opportunities.
- Review the job description and check the educational qualifications, AI skills, location, duration, and eligibility requirements.
- Prepare a resume highlighting Python, generative AI, machine learning, LLMs, APIs, and relevant projects.
- Include AI or machine learning projects and provide GitHub repositories, research work, or portfolio links where available.
- Add relevant AI certifications, machine learning courses, programming training, research projects, or technical credentials.
- Submit the application with the requested information and documents.
- Shortlisted candidates may be invited for coding assessments, AI assignments, technical tasks, or interviews.
- Interviews may cover Python, generative AI, LLMs, prompt engineering, APIs, machine learning concepts, model evaluation, and project experience.
Selection Process
The Infosys Generative AI Engineer Internship selection process may include:
- Application Screening: Academic background, programming knowledge, AI skills, projects, certifications, and overall profile may be evaluated.
- Technical Assessment: Candidates may be tested on Python, AI concepts, machine learning, logical reasoning, and problem-solving.
- Technical Interviews: Questions may cover generative AI, LLMs, prompt engineering, APIs, machine learning, data handling, and AI application development.
- Project Discussion: Candidates may be asked to explain their AI projects, models, prompts, datasets, or applications.
- Practical Task: Applicants may receive a Python, prompt engineering, AI application, or model evaluation assignment.
- Behavioural Interviews: Communication, teamwork, adaptability, analytical thinking, and responsible use of technology may be assessed.
- Final Selection: Candidates who successfully complete the selection stages may receive an internship offer and proceed with onboarding.
Benefits & Perks
Infosys Generative AI Engineer Interns may receive:
- Compensation, depending on the position and location.
- Practical exposure to generative AI and AI application development.
- Experience working with large language models.
- Guidance from AI engineers and technical professionals.
- Exposure to Python, APIs, and machine learning tools.
- Opportunities to learn prompt engineering.
- Experience with AI testing and model evaluation.
- Exposure to RAG, embeddings, and vector databases.
- Opportunities to strengthen programming and analytical skills.
- Experience working on AI-related projects.
- Professional development through project-based learning.
- Exposure to a global technology and consulting environment.
FAQs
The Infosys Generative AI Engineer Internship may include compensation depending on the position and location. Candidates should check the specific internship posting for details.
The Infosys Generative AI Engineer Internship does not have any fixed annual application period. Openings may vary according to business requirements and project availability.
Final-year students may apply for the Infosys Generative AI Engineer Internship if they meet the educational and other requirements listed in the relevant job posting.
Completing the Infosys Generative AI Engineer Internship does not guarantee a pre-placement offer. Future employment depends on performance, business requirements, and applicable hiring processes.
After submitting an Infosys Generative AI Engineer Internship application, Infosys may review the candidate's profile. Shortlisted candidates may be contacted for assessments, technical assignments, or interviews.
Candidates may apply for another Infosys Generative AI Engineer Internship opening if they meet its eligibility requirements. Each new posting should be reviewed before applying.
Eligibility for the Infosys Generative AI Engineer Internship depends on the individual job posting. Students from relevant technical disciplines with Python, AI, machine learning, and problem-solving skills may apply.
The Infosys Generative AI Engineer Internship may require Python, generative AI, LLMs, prompt engineering, APIs, machine learning, Git, and problem-solving skills. Some positions may also prefer RAG, vector databases, embeddings, cloud AI, or AI agent knowledge.
Candidates should begin checking Infosys Generative AI Engineer Internship 2026 openings several months before their preferred internship period.
There is no single deadline for every Infosys Generative AI Engineer Internship 2026 position. Candidates should check the closing date mentioned in the individual job posting.
There is no universal GPA requirement for every Infosys Generative AI Engineer Internship position. Academic requirements may vary by role.
Beware of Scammers
