Hexaware Technologies is hiring for the role of Gen AI Developer Associate. This opportunity is ideal for fresh graduates and candidates with up to 1 year of experience who want to build a career in one of the fastest-growing domains in tech Generative AI.
With the rapid rise of AI-powered products, companies are actively hiring engineers who understand machine learning, large language models (LLMs), natural language processing (NLP), and AI deployment. Hexaware’s Gen AI Developer Associate role offers a strong entry point into this field for candidates with solid programming and mathematical foundations.
If you are passionate about AI, Python, LLMs, and building intelligent systems, this opportunity is worth considering.
About the Company
Hexaware Technologies is a global digital and technology services company that helps enterprises accelerate digital transformation. The company provides services in:
- Cloud transformation
- Artificial Intelligence
- Data engineering
- Automation
- Software development
- Enterprise platforms
Hexaware works with global clients across industries such as banking, healthcare, travel, insurance, and retail. The company has increasingly invested in AI and automation solutions, making it an attractive workplace for engineers interested in modern AI technologies.
Working at Hexaware can provide exposure to enterprise-scale AI implementations, production systems, and real-world customer use cases.
Role Overview
As a Gen AI Developer Associate, your primary responsibility will be developing and supporting AI-powered applications with a focus on Generative AI and NLP.
This is an entry-level role, meaning Hexaware is looking for strong fundamentals and learning ability rather than years of industry experience.
You will work on:
- AI model development
- Data preprocessing
- Feature engineering
- NLP applications
- Model evaluation
- AI deployment support
The role involves both research and engineering, making it ideal for candidates who enjoy experimentation as well as coding.
Salary Estimate 💰
Official Salary: Not disclosed by Hexaware
Estimated Salary: ₹4.5 LPA – ₹8 LPA
This estimate is based on:
- Hexaware fresher compensation trends
- AI/ML entry-level market salaries in India
- Compensation for specialized Gen AI roles
Monthly in-hand salary may vary based on:
- Location
- Bonuses
- Tax deductions
- Benefits
Additional benefits may include:
- Health insurance
- Learning programs
- Performance bonuses
- Certification support
- Internal AI upskilling opportunities
Because this is a specialized AI role, compensation may be slightly higher than standard fresher software roles.
Key Responsibilities
Selected candidates will work on several AI engineering tasks.
1. Develop Machine Learning Models
You will help build ML models for real-world business problems, especially those involving:
- Text generation
- Summarization
- Classification
- Chatbots
- NLP pipelines
This may include working with transformer-based models such as:
- GPT
- TensorFlow models
- PyTorch models
2. Data Preparation
AI models depend heavily on clean data. You will assist with:
- Data cleaning
- Feature extraction
- Tokenization
- Dataset preprocessing
- Training data preparation
Good data engineering practices are important here.
3. Model Evaluation
You’ll measure model performance using metrics such as:
- Accuracy
- Precision
- Recall
- F1 score
- Latency
- Response quality
Understanding evaluation is essential in production AI systems.
4. Research Latest AI Advances
Generative AI evolves rapidly. You’ll explore advancements in:
- LLMs
- Prompt engineering
- Retrieval-Augmented Generation (RAG)
- Fine-tuning
- Agent workflows
This requires curiosity and continuous learning.
5. Production Deployment
You may assist with:
- Model serving
- API integration
- Monitoring
- Performance optimization
- Production maintenance
This bridges research with software engineering.
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Who Can Apply?
| Criteria | Details |
|---|---|
| Education | Bachelor’s in CS / Mathematics / Engineering |
| Experience | Freshers or 0–1 year |
| Role Type | Full-Time |
| Domain | Generative AI / ML |
Fresh graduates with strong AI projects can be highly competitive.
Required Skills
Hexaware expects candidates to have strong technical fundamentals.
Programming
Strong Python skills are preferred.
Useful Python libraries include:
- scikit-learn
- PyTorch
- TensorFlow
- NumPy
- Pandas
Python is heavily used in AI pipelines and experimentation.
Machine Learning Fundamentals
You should understand:
- Supervised learning
- Unsupervised learning
- Overfitting
- Bias-variance tradeoff
- Feature engineering
- Model optimization
These concepts form the base of AI engineering.
NLP Knowledge
Understanding NLP concepts is important:
- Tokenization
- Embeddings
- Attention mechanisms
- Text preprocessing
- Sentiment analysis
- Language models
Familiarity with transformer architectures is a major advantage.
Generative AI Knowledge
Candidates should know basics of:
- Large Language Models
- Prompt engineering
- GPT-style models
- Fine-tuning
- Vector databases
- RAG systems
Even project-level experience can help.
Mathematical Foundation
Hexaware specifically values mathematical strength.
Important topics include:
- Linear Algebra
- Probability
- Statistics
- Matrix operations
- Optimization basics
These are heavily used in machine learning and deep learning.
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Preferred Candidate Profile
Hexaware will likely prefer candidates who:
- Have AI/ML project experience
- Built LLM or chatbot projects
- Have GitHub repositories
- Participate in hackathons
- Learn independently
- Can explain technical concepts clearly
Candidates with portfolio projects stand out significantly.
Examples:
- AI chatbot
- Document summarizer
- RAG assistant
- Resume analyzer
- Recommendation engine
How to Apply
To improve your chances:
- Add AI/ML projects to your resume
- Highlight Python skills
- Include GitHub links
- Mention NLP or LLM work
- Prepare ML basics thoroughly
- Practice coding and problem-solving
Candidates who can demonstrate practical AI projects, even personal ones, often stand out more than those with only theoretical knowledge.
Apply by clicking the button below and ensure your resume clearly showcases your AI, ML, Python, and Generative AI skills.
Disclaimer: This job information is collected from official/public sources for informational purposes only. We do not charge any fees, do not guarantee recruitment or selection, and are not responsible for any loss or decisions made based on this information.
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