If you are a fresher who wants to start your career in Artificial Intelligence, Machine Learning and Generative AI, the Hexaware Gen AI Developer Associate Hiring 2026 opportunity is worth looking at.
Hexaware is hiring for the Gen AI Developer Associate role for candidates with 0-1 year of experience. The position is focused on developing AI and machine learning solutions, with areas such as Generative AI, Natural Language Processing, Python and machine learning forming the core of the role.
Hexaware Gen AI Developer Associate – At a Glance
Field
Details
Company
Hexaware Technologies
Role
Gen AI Developer Associate
Job ID
605215
Job Type
Full Time
Experience
Freshers / 0-1 Year
Qualification
Bachelor’s Degree
Eligible Background
Computer Science, Mathematics, Engineering or related field
Location
India / Pan India
Salary
Not Disclosed
Career Level
Associate
The available job information specifically mentions a bachelor’s degree in Computer Science, Mathematics, Engineering or a related discipline and allows fresh graduates or candidates with up to one year of experience.
What makes this Gen AI role different?
There are many jobs today with “AI” or “Gen AI” in their titles.
But the work described for this Hexaware position goes beyond using ready-made AI tools.
You are expected to understand how machine learning models work, prepare data, evaluate models and experiment with Generative AI and NLP technologies.
In simple terms, the workflow can look something like:
Data → preprocessing → model development → evaluation → improvement → deployment
For Gen AI and NLP projects, you may also work with language models and explore how they can be used to solve practical problems.
That makes the role more suitable for someone who enjoys coding + mathematics + experimentation, rather than someone interested only in prompt writing.
What will you work on?
The Hexaware Gen AI Developer Associate Hiring 2026 role includes work across different stages of AI development.
The responsibilities listed for the position include:
Developing and implementing machine learning models
Working on Generative AI and NLP applications
Preparing and cleaning data
Performing feature engineering
Evaluating model performance
Researching developments in Generative AI and NLP
Writing clean and documented Python code
Assisting with deployment of AI and ML models
Supporting models after deployment
Applying mathematical and machine learning concepts to practical problems
Working with other team members on AI solutions
The listing also emphasizes continuous learning because AI technologies and development approaches change quickly.
The most important skill: Python
If you are applying for this role, Python should be one of your strongest technical skills.
You should be comfortable with:
Variables and data types
Conditions and loops
Functions
Lists, tuples and dictionaries
Object-oriented programming basics
File handling
Exception handling
Writing reusable code
For AI-related work, also start learning:
NumPy
Pandas
Basic data manipulation
Working with datasets
You do not need to know every Python library before applying. But you should be able to write code without depending completely on tutorials.
Machine Learning fundamentals
The role expects a basic understanding of Machine Learning.
At minimum, understand the difference between:
Supervised Learning
The model learns from labelled data.
Examples include:
Classification
Regression
Unsupervised Learning
The model works with data where predefined labels are not available.
Examples include:
Clustering
Dimensionality reduction
Also understand concepts such as:
Training data
Validation data
Test data
Features
Labels
Overfitting
Underfitting
Model evaluation
You do not need to memorise textbook definitions. Try to understand what each concept actually means when building a model.
NLP and Generative AI
NLP stands for Natural Language Processing.
It deals with enabling computers to work with human language.
For this role, having basic knowledge of topics such as:
Text preprocessing
Tokenization
Text classification
Embeddings
Language models
Transformers
Large Language Models
can be useful.
You should also understand the basic idea behind Generative AI and models such as GPT.
The goal is not to memorise the architecture of every modern LLM. Instead, understand how language models are used and what happens when you send text to an AI model and receive a generated response.
What about TensorFlow, PyTorch and Scikit-learn?
These are useful machine learning frameworks and libraries mentioned in the available role information.
You can start with Scikit-learn if you are new to machine learning because it makes it easier to understand the basic ML workflow.
After that, you can explore:
TensorFlow
PyTorch
You do not need to learn all three at an advanced level immediately.
It is better to build one working project and understand it properly than to list ten AI frameworks on your resume without being able to explain them.
Mathematics matters for this role
This is one area candidates should not ignore.
The job specifically mentions a foundation in:
Linear Algebra
Probability
Statistics
For example, understand the basic meaning of:
Linear Algebra
Vectors
Matrices
Matrix operations
Probability
Probability distributions
Conditional probability
Basic probability concepts
Statistics
Mean
Median
Variance
Standard deviation
Correlation
You do not need to become a mathematician. But understanding the mathematics behind machine learning will make it much easier to understand what your models are actually doing.
A project that can make your resume stronger
If you are a fresher applying for the Hexaware Gen AI Developer Associate Hiring 2026 opportunity, a practical AI project can make your profile more interesting.
For example, build a Document Question-Answering Assistant.
You could:
Upload a collection of documents.
Extract the text.
Split the text into smaller sections.
Convert the text into embeddings.
Store the embeddings.
Search for relevant sections based on a user’s question.
Send the relevant context to an LLM.
Generate an answer.
Display the answer through a simple interface.
You do not need to build a huge enterprise application.
Even a small working project can demonstrate that you understand the difference between simply calling an AI API and building an AI-powered application around it.
Another project idea for ML fundamentals
If Generative AI is still new to you, start with a conventional ML project.
For example:
Customer Churn Prediction
Build a model that predicts whether a customer is likely to leave a service.
Your project can include:
Data cleaning
Exploratory data analysis
Feature engineering
Train/test split
Model training
Model evaluation
Result visualization
Then explain why you selected the model and how you measured its performance.
This gives you a strong foundation before moving into more advanced Gen AI concepts.
Who can apply?
The Hexaware Gen AI Developer Associate Hiring 2026 role is aimed at early-career candidates.
The available listing specifies:
Fresh graduates can apply
Candidates with up to 1 year of experience can apply
Bachelor’s degree in Computer Science, Mathematics, Engineering or a related field
Strong Python programming skills
Basic Machine Learning knowledge
NLP knowledge
Familiarity with Generative AI models such as GPT
Understanding of linear algebra, probability and statistics
Good analytical and problem-solving ability
Willingness to learn new AI technologies
What should you put on your resume?
For this position, do not make your resume look like a generic software developer resume.
Your technical section should clearly show the AI-related skills you actually know.
Example skills section
Programming: Python
Machine Learning: Supervised Learning, Unsupervised Learning, Model Evaluation
AI: Generative AI, NLP, LLM Fundamentals
Libraries: Scikit-learn, Pandas, NumPy
Deep Learning: TensorFlow / PyTorch
Mathematics: Linear Algebra, Probability, Statistics
Only include TensorFlow or PyTorch if you have genuinely worked with them.
How to write your AI project on the resume
Avoid writing:
“Created an AI chatbot using Python.”
That tells the recruiter very little.
Instead, explain what the project actually does.
For example:
AI Document Assistant
Built a Python-based document question-answering application.
Processed document text and generated vector representations for semantic search.
Connected retrieved context with an LLM to generate relevant responses.
Tested responses using a set of predefined questions.
The second version gives the recruiter something technical to understand and gives you topics to discuss during an interview.
What should freshers prepare for an interview?
If you get shortlisted, prepare in four areas.
1. Python
Be ready to write basic programs and explain your code.
2. Machine Learning
Revise basic ML concepts, algorithms and model evaluation.
3. NLP and Gen AI
Understand basic NLP concepts, LLMs, embeddings and Generative AI.
4. Mathematics
Revise basic probability, statistics and linear algebra.
Also prepare to explain every AI project on your resume.
If you used an LLM API, be ready to explain:
What did you send to the model? Why did you send it? What did you do with the response? How did you handle incorrect answers?
These questions show whether you actually built the project or simply followed a tutorial.
A realistic preparation path
If you are starting from zero, don’t try to learn everything in one week.
A better sequence is:
Python → Mathematics → Machine Learning → NLP → Generative AI → AI project
Start with Python and ML fundamentals.
Once you understand those, concepts such as embeddings, LLMs and RAG become much easier to understand.
About Hexaware
Hexaware Technologies is a global digital and technology services company with AI, cloud, data and digital transformation among its major areas of work. Hexaware describes itself as an AI-centered technology services company and offers services covering areas such as Generative AI, Agentic AI, AI/ML modernization and data engineering.
The company’s Generative AI practice includes work around AI use-case identification, solution development, LLMOps, enterprise AI integration and AI-powered automation.
This makes the Gen AI Developer Associate role particularly relevant for candidates who want to build a career around applied AI rather than only traditional software development.
Salary
The salary for Hexaware Gen AI Developer Associate Hiring 2026 is not reliably disclosed in the available job information.
Some third-party websites publish salary estimates, but these should not be presented as the official compensation for this opening.
It is better to wait for the compensation details provided by Hexaware during the hiring process.
How to apply
Eligible candidates should apply through the Hexaware hiring channel while the opening is available.
Before applying:
Check that your degree matches the stated requirement.
Confirm that you fall within the 0-1 year experience range.
Update your resume with Python and AI/ML projects.
Mention NLP or Gen AI projects if you have built them.
Job listings can be closed, modified or reposted based on the company’s hiring requirements.
The role information used for this article identifies Job ID 605215, Gen AI Developer Associate, with 0-1 years of experience and India as the location. Candidates should verify the current opening and application status before applying.
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Never pay anyone who promises an interview, selection or job offer.
Frequently Asked Questions
Is Hexaware Gen AI Developer Associate a fresher role?
Yes. The available listing states that fresh graduates and candidates with up to one year of experience can apply.
What qualification is required?
A bachelor’s degree in Computer Science, Mathematics, Engineering or a related field is listed for the position.
Which programming language is important?
Python is the main programming language highlighted for this role.
Do I need Generative AI knowledge?
Basic familiarity with Generative AI models such as GPT is listed among the required knowledge areas.
Do I need to know TensorFlow and PyTorch?
The available job information lists TensorFlow, PyTorch and Scikit-learn as useful technical skills. Candidates should focus first on understanding machine learning fundamentals and then build practical experience with these tools.
Is prior work experience mandatory?
No. Freshers are eligible according to the available listing. Candidates with up to one year of experience are also considered.
What should I learn before applying?
Start with Python, machine learning fundamentals, NLP, Generative AI, basic mathematics and one practical AI project.
Final Takeaway
The Hexaware Gen AI Developer Associate Hiring 2026 opportunity is aimed at candidates who want to enter the AI field early in their careers.
The biggest mistake would be preparing only around trendy Gen AI terms.
Then put those skills into practice through a project you can actually explain.
If you are a fresher with a technical degree and a genuine interest in AI, this is the kind of role where a strong project can help demonstrate your ability much better than a long list of AI keywords.hrough the official careers portal using the Apply Now button below.
