Hexaware Hiring 2026 for Gen AI Developer Associate – Freshers

Hexaware Hiring 2026 for Gen AI Developer Associate – Freshers

Published on: October 16, 2026

Author: Ravinder Pal Singh

Hexaware is associated with a hiring opportunity for the position of Gen AI Developer Associate under Job ID 605215. This opportunity is relevant to candidates interested in Artificial Intelligence, Generative AI, Machine Learning, Natural Language Processing and Python development.

Generative AI is becoming an important part of modern software development. Companies are exploring AI-powered applications to automate repetitive tasks, process information, improve productivity and build intelligent digital solutions. For fresh graduates who want to start a career in this field, developing strong programming fundamentals and practical AI skills can be a valuable first step.

Candidates interested in this opportunity should review the job requirements, prepare an updated resume and check the official Hexaware careers portal for the current vacancy status.

Hexaware Gen AI Developer Associate

Job ID: 605215

Explore the opportunity and review the official job requirements.

VIEW JOB DETAILS

Hexaware Recruitment 2026: Job Overview

CompanyHexaware Technologies
Job RoleGen AI Developer Associate
Job ID605215
QualificationBachelor's degree in Computer Science, Engineering, Mathematics or a related field
ExperienceFreshers / 0–1 year
Job LocationIndia; confirm the location on the vacancy page
Salary / CTCEstimated ₹3.5–6 LPA; actual compensation may vary
Employment TypeFull-time
Eligible BatchCheck the graduation-year requirements
Application ModeOnline
Official Application LinkClick Here to Apply

Note: The salary range is an estimate for an entry-level AI development role and is not an officially confirmed Hexaware CTC.

About Hexaware Technologies

Hexaware Technologies is a global IT services and technology consulting company that helps organisations develop software, modernise applications and adopt digital technologies. Its business areas include application development, cloud services, data, automation and emerging technologies.

As businesses invest in digital transformation, Artificial Intelligence is becoming increasingly relevant to software development and business operations. AI-powered systems can assist with document processing, information retrieval, content generation, customer support and other tasks that traditionally require substantial manual effort.

Working in an AI-related role can give technology professionals an opportunity to apply programming knowledge to real-world problems. Candidates entering this field should develop a clear understanding of software fundamentals and learn how AI tools can be integrated into practical applications.

For fresh graduates, the best preparation combines technical knowledge, hands-on projects and the ability to explain how a solution works. Understanding the limitations of AI systems is equally important because generated results may contain errors or require human review.

About the Gen AI Developer Associate Role

The Gen AI Developer Associate role is associated with the development and use of Artificial Intelligence technologies. Generative AI refers to systems that can generate outputs such as text, summaries, code and other content in response to instructions or input data.

Python is widely used in AI development because it provides libraries for data processing, machine learning and application development. Machine Learning helps systems identify patterns in data, while Natural Language Processing enables computers to work with human language.

Depending on the project, an AI developer may work with existing models, prepare data, test application outputs or help integrate AI functionality into software. The exact responsibilities for this vacancy should be read on the official job page.

Candidates should also understand the difference between traditional software development and AI application development. Traditional programs generally follow explicitly defined instructions, whereas machine learning systems can use patterns learned from data to make predictions or generate outputs.

Eligibility Criteria for Hexaware Hiring 2026

Candidates should review the official vacancy to confirm the accepted qualifications, eligible graduation years and experience requirements. The following areas are useful preparation topics for graduates interested in entry-level AI development positions.

1. Educational Qualification

A bachelor's degree in Computer Science, Engineering, Mathematics or a related discipline provides a relevant foundation for many AI development roles. Candidates should check the exact qualification requirements before submitting an application.

2. Programming Knowledge

Programming fundamentals are important for developing and testing applications. Candidates should understand variables, data types, conditional statements, loops, functions, collections and exception handling. Python is a particularly useful language to learn for AI and machine learning projects.

3. Machine Learning Fundamentals

Applicants should understand basic machine learning concepts, including supervised learning, unsupervised learning, training data, testing data and model evaluation. Familiarity with classification and regression can help candidates understand common machine learning applications.

4. Natural Language Processing

Natural Language Processing, or NLP, focuses on enabling computers to process human language. Important introductory concepts include tokenisation, text preprocessing, text classification and embeddings. Candidates can begin by experimenting with small text-processing projects.

5. Generative AI Knowledge

Candidates should learn the basics of large language models, prompt design and AI-generated responses. It is useful to understand why an AI model may produce incorrect information and how its output can be checked for accuracy.

6. Analytical and Problem-Solving Skills

AI development involves testing ideas, investigating errors and improving solutions. Candidates should practise breaking problems into smaller steps, reading error messages and evaluating different approaches before choosing a solution.

7. Communication and Teamwork

Software development usually involves collaboration with other developers and team members. Clear communication helps candidates explain their work, discuss technical issues and document the decisions made during development.

Technical Skills to Prepare

Freshers can strengthen their technical foundation by learning the following technologies and concepts. The actual mandatory skills depend on the official job description.

  • Python: Learn programming fundamentals, functions, data structures and debugging.
  • NumPy: Understand basic numerical operations and working with arrays.
  • pandas: Practise loading, cleaning and manipulating datasets.
  • Machine Learning: Learn the basics of model training, prediction and evaluation.
  • NLP: Understand text processing, tokenisation and language-related tasks.
  • Generative AI: Explore language models, prompts and output evaluation.
  • Git: Learn how version control helps developers manage code changes.
  • Debugging: Practise identifying errors and testing possible solutions.

Rather than trying to learn every tool at once, candidates should start with Python and programming fundamentals before moving towards machine learning and Generative AI. This approach makes it easier to understand the underlying concepts and build more useful projects.

Roles and Responsibilities

The precise responsibilities of the Gen AI Developer Associate position should be confirmed from the official job description. Common activities associated with entry-level AI development can include:

  • Supporting the development of applications that use Artificial Intelligence technologies.
  • Writing and testing Python code for assigned tasks.
  • Preparing and processing data for relevant development activities.
  • Exploring machine learning and NLP techniques for suitable use cases.
  • Working with Generative AI models and tools as required by a project.
  • Testing application outputs and identifying potential issues.
  • Debugging code and helping resolve technical problems.
  • Documenting code, experiments and development findings.
  • Collaborating with team members on software development tasks.
  • Following coding standards, project guidelines and applicable security practices.

The responsibilities may differ depending on the project and business requirements. Candidates should use the official job description to understand the actual duties associated with Job ID 605215.

How Freshers Can Prepare for the Role

Fresh graduates can improve their readiness by combining theoretical knowledge with practical exercises. A few well-understood projects can help demonstrate genuine technical skills.

Build a Python Project

Create a small application that solves a clearly defined problem. Examples include a data-processing utility, a simple automation tool or a basic text-analysis program. Keep the code organised and document the approach you used.

Practise Machine Learning

Use a sample dataset to learn how to prepare data, train a model and evaluate its performance. Understand why training and testing datasets are separated and how evaluation metrics help measure the quality of a model.

Experiment with NLP

Try a simple text-classification project or build a program that processes text input. Learn how the text is prepared, how the model processes the information and how the results can be evaluated.

Explore Generative AI

Experiment with an authorised AI tool or model. Practise writing clear prompts, comparing responses and checking whether the generated information is correct. Learn about limitations, privacy and responsible AI use.

Resume Tips for AI Jobs for Freshers

A good resume should help recruiters quickly understand your education, technical knowledge and practical experience. Candidates without full-time work experience can highlight academic projects, internships and relevant coursework.

  1. Keep your resume clear: Use simple formatting and organised sections.
  2. Highlight relevant skills: Include Python, AI or machine learning skills you genuinely possess.
  3. Describe projects properly: Explain the problem, tools used, your contribution and the outcome.
  4. Include relevant coursework: Mention subjects related to programming, algorithms, statistics or machine learning.
  5. Use accurate information: Do not exaggerate your experience or technical proficiency.
  6. Proofread the document: Check spelling, dates, contact details and formatting.

During interviews, candidates should be prepared to explain the projects listed on their resumes. Understanding the reasoning behind a project is more useful than memorising technical definitions without knowing how they apply in practice.

Selection Process for Hexaware Recruitment 2026

The exact selection stages for this vacancy should be confirmed through official recruitment communications. A technology hiring process may include the following steps:

  1. Application screening: The submitted application is reviewed against the position requirements.
  2. Assessment: Candidates may be asked to complete aptitude, programming or technical tests.
  3. Technical interview: Discussions may cover programming fundamentals and relevant technical concepts.
  4. Additional interview: Further discussions may assess problem-solving, communication and project experience.
  5. Final decision: Candidates receive further instructions from the recruitment team.

Not every position follows the same process. Applicants should follow the instructions provided by Hexaware and prepare according to the actual requirements of the role.

How to Apply for Hexaware Gen AI Developer Associate

Interested candidates can follow these steps to review the opportunity and complete the application through the official Hexaware careers portal.

  1. Open the official application link provided below.
  2. Search for Job ID 605215 and confirm the job title.
  3. Read the full job description and eligibility criteria.
  4. Check the location, experience requirements and eligible graduation years.
  5. Prepare an updated resume with accurate academic and technical details.
  6. Complete the online application if the vacancy is open and you meet the requirements.
  7. Review your information before submitting the form.
  8. Keep the application confirmation for future reference.

Hexaware Gen AI Developer Associate Apply Link

Visit the official careers portal to review the vacancy and application instructions.

CLICK HERE TO APPLY

Frequently Asked Questions (FAQs)

1. What is the job role at Hexaware?

The position associated with Job ID 605215 is Gen AI Developer Associate.

2. Is this opportunity suitable for freshers?

Public job references describe the opportunity as suitable for freshers and candidates with up to one year of experience. Candidates should confirm the final eligibility criteria on the official careers portal.

3. What qualification is required?

A bachelor's degree in Computer Science, Engineering, Mathematics or a related field is a relevant background for AI development. Check the official vacancy for the accepted qualifications.

4. What is the salary for this position?

An estimated range of ₹3.5–6 LPA has been included as a general entry-level AI development estimate. It is not an officially confirmed salary for this Hexaware vacancy.

5. Which technical skills are useful?

Python, machine learning fundamentals, NLP, Generative AI and problem-solving are useful preparation areas for AI development roles.

6. Which graduation batches can apply?

The eligible graduation years should be confirmed from the official job description before submitting an application.

7. How can candidates apply?

Open the official Hexaware careers link in this article, review the job details and follow the application instructions if the vacancy is open.

Conclusion

The Gen AI Developer Associate opportunity at Hexaware is relevant to candidates who want to explore Artificial Intelligence, Generative AI, NLP and Python-based development. Fresh graduates can prepare for this career path by strengthening their programming fundamentals, learning machine learning concepts and building practical projects.

Before applying, candidates should review the official vacancy, confirm the eligibility requirements and prepare a resume that accurately represents their skills. Using the official recruitment portal is the best way to access the employer's current instructions.

Disclaimer

This article is published by The Interns for informational purposes. The Interns is not the official recruitment website of Hexaware and does not guarantee selection or employment. Salary figures, eligibility requirements and other job details may change. Candidates should verify the latest information on the official company careers portal before applying.

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