Gen AI Engineer

at QuaXigma IT solutions Private Limited

Gen AI Engineer

QuaXigma IT solutions Private Limited

Company

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Gen AI Engineer

at QuaXigma IT solutions Private Limited

Posted by Murali Linga

3 - 6 yrs

₹8L - ₹20L / yr

Remote, Tirupati

Skills

Large Language Models (LLM)

Llama

Retrieval Augmented Generation (RAG)

Python

FastAPI

Microsoft Windows Azure

Senior Generative AI Engineer

Job Id: QX016

About Us:

The QX impact was launched with a mission to make AI accessible and affordable and deliver AI Products/Solutions at scale for the enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights; businesses will continue to face challenges to better understand their customers and even lose them.

Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.

Job Summary:

We seek a highly experienced Senior Generative AI Engineer who focus on the development, implementation, and engineering of Gen AI applications using the latest LLMs and frameworks. This role requires hands-on expertise in Python programming, cloud platforms, and advanced AI techniques, along with additional skills in front-end technologies, data modernization, and API integration. The Senior Gen AI engineer will be responsible for building applications from the ground up, ensuring robust, scalable, and efficient solutions.

Responsibilities:

· Build GenAI solutions such as virtual assistant, data augmentation, automated insights and predictive analytics

· Design, develop, and fine-tune generative AI models (GANs, VAEs, Transformers).

· Handle data preprocessing, augmentation, and synthetic data generation.

· Work with NLP, text generation, and contextual comprehension tasks.

· Develop backend services using Python or .NET for LLM-powered applications.

· Build and deploy AI applications on cloud platforms (Azure, AWS, GCP).

· Optimize AI pipelines and ensure scalability.

· Stay updated with advancements in AI and ML.

Skills & Requirements:

Strong knowledge of machine learning, deep learning, and NLP.
Proficiency in Python, TensorFlow, PyTorch, and Keras.
Experience with cloud services, containerization (Docker, Kubernetes), and AI model deployment.
Understanding of LLMs, embeddings, and retrieval-augmented generation (RAG).
Ability to work independently and as part of a team.
Bachelor’s degree in Computer Science, Mathematics, Engineering, or a related field.
6+ years of experience in Gen AI, or related roles.
Experience with AI/ML model integration into data pipelines.

Core Competencies for Generative AI Engineers:

1. Programming & Software Development

a. Python – Proficiency in writing efficient and scalable code with strong knowledge with NumPy, Pandas, TensorFlow, PyTorch and Scikit-learn.

b. LLM Frameworks – Experience with Hugging Face Transformers, LangChain, OpenAI API, and similar tools for building and deploying large language models.

c. API integration such as FastAPI, Flask, RESTful API, WebSockets or Django.

d. Knowledge of Version Control, containerization, CI/CD Pipelines and Unit Testing.

2. Vector Database & Cloud AI Solutions

a. Pinecone, FAISS, ChromaDB, Neo4j

b. Azure Redis/ Cognitive Search

c. Azure OpenAI Service

d. Azure ML Studio Models

e. AWS (Relevant Services)

3. Data Engineering & Processing

Handling large-scale structured & unstructured datasets.
Proficiency in SQL, NoSQL (PostgreSQL, MongoDB), Spark, and Hadoop.
Feature engineering and data augmentation techniques.

4. NLP & Computer Vision

NLP: Tokenization, embeddings (Word2Vec, BERT, T5, LLaMA).
CV: Image generation using GANs, VAEs, Stable Diffusion.
Document Embedding – Experience with vector databases (FAISS, ChromaDB, Pinecone) and embedding models (BGE, OpenAI, SentenceTransformers).
Text Summarization – Knowledge of extractive and abstractive summarization techniques using models like T5, BART, and Pegasus.
Named Entity Recognition (NER) – Experience in fine-tuning NER models and using pre-trained models from SpaCy, NLTK, or Hugging Face.
Document Parsing & Classification – Hands-on experience with OCR (Tesseract, Azure Form Recognizer), NLP-based document classifiers, and tools like LayoutLM, PDFMiner.

5. Model Deployment & Optimization

Model compression (quantization, pruning, distillation).
Deployment using Azure CI/CD, ONNX, TensorRT, OpenVINO on AWS, GCP.
Model monitoring (MLflow, Weights & Biases) and automated workflows (Azure Pipeline).
API integration with front-end applications.

6. AI Ethics & Responsible AI

Bias detection, interpretability (SHAP, LIME), and security (adversarial attacks).

7. Mathematics & Statistics

Linear Algebra, Probability, and Optimization (Gradient Descent, Regularization, etc.).

8. Machine Learning & Deep Learning

a. Expertise in supervised, unsupervised, and reinforcement learning.

a. Proficiency in TensorFlow, PyTorch, and JAX.

b. Experience with Transformers, GANs, VAEs, Diffusion Models, and LLMs (GPT, BERT, T5).

Personal Attributes:

Strong problem-solving skills with a passion for data architecture.
Excellent communication skills with the ability to explain complex data concepts to non-technical stakeholders.
Highly collaborative, capable of working with cross-functional teams.
Ability to thrive in a fast-paced, agile environment while managing multiple priorities effectively.

Why Join Us?

Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
Work on impactful projects that make a difference across industries.
Opportunities for professional growth and continuous learning.
Competitive salary and benefits package.

Ready to make an impact? Apply today and become part of the QX impact team!

Senior Generative AI Engineer

Job Id: QX016

About Us:

Job Summary:

Responsibilities:

· Build GenAI solutions such as virtual assistant, data augmentation, automated insights and predictive analytics

· Design, develop, and fine-tune generative AI models (GANs, VAEs, Transformers).

· Handle data preprocessing, augmentation, and synthetic data generation.

· Work with NLP, text generation, and contextual comprehension tasks.

· Develop backend services using Python or .NET for LLM-powered applications.

· Build and deploy AI applications on cloud platforms (Azure, AWS, GCP).

· Optimize AI pipelines and ensure scalability.

· Stay updated with advancements in AI and ML.

Skills & Requirements:

Strong knowledge of machine learning, deep learning, and NLP.
Proficiency in Python, TensorFlow, PyTorch, and Keras.
Experience with cloud services, containerization (Docker, Kubernetes), and AI model deployment.
Understanding of LLMs, embeddings, and retrieval-augmented generation (RAG).
Ability to work independently and as part of a team.
Bachelor’s degree in Computer Science, Mathematics, Engineering, or a related field.
6+ years of experience in Gen AI, or related roles.
Experience with AI/ML model integration into data pipelines.

Core Competencies for Generative AI Engineers:

1. Programming & Software Development

a. Python – Proficiency in writing efficient and scalable code with strong knowledge with NumPy, Pandas, TensorFlow, PyTorch and Scikit-learn.

b. LLM Frameworks – Experience with Hugging Face Transformers, LangChain, OpenAI API, and similar tools for building and deploying large language models.

c. API integration such as FastAPI, Flask, RESTful API, WebSockets or Django.

d. Knowledge of Version Control, containerization, CI/CD Pipelines and Unit Testing.

2. Vector Database & Cloud AI Solutions

a. Pinecone, FAISS, ChromaDB, Neo4j

b. Azure Redis/ Cognitive Search

c. Azure OpenAI Service

d. Azure ML Studio Models

e. AWS (Relevant Services)

3. Data Engineering & Processing

Handling large-scale structured & unstructured datasets.
Proficiency in SQL, NoSQL (PostgreSQL, MongoDB), Spark, and Hadoop.
Feature engineering and data augmentation techniques.

4. NLP & Computer Vision

NLP: Tokenization, embeddings (Word2Vec, BERT, T5, LLaMA).
CV: Image generation using GANs, VAEs, Stable Diffusion.
Document Embedding – Experience with vector databases (FAISS, ChromaDB, Pinecone) and embedding models (BGE, OpenAI, SentenceTransformers).
Text Summarization – Knowledge of extractive and abstractive summarization techniques using models like T5, BART, and Pegasus.
Named Entity Recognition (NER) – Experience in fine-tuning NER models and using pre-trained models from SpaCy, NLTK, or Hugging Face.
Document Parsing & Classification – Hands-on experience with OCR (Tesseract, Azure Form Recognizer), NLP-based document classifiers, and tools like LayoutLM, PDFMiner.

5. Model Deployment & Optimization

Model compression (quantization, pruning, distillation).
Deployment using Azure CI/CD, ONNX, TensorRT, OpenVINO on AWS, GCP.
Model monitoring (MLflow, Weights & Biases) and automated workflows (Azure Pipeline).
API integration with front-end applications.

6. AI Ethics & Responsible AI

Bias detection, interpretability (SHAP, LIME), and security (adversarial attacks).

7. Mathematics & Statistics

Linear Algebra, Probability, and Optimization (Gradient Descent, Regularization, etc.).

8. Machine Learning & Deep Learning

a. Expertise in supervised, unsupervised, and reinforcement learning.

a. Proficiency in TensorFlow, PyTorch, and JAX.

b. Experience with Transformers, GANs, VAEs, Diffusion Models, and LLMs (GPT, BERT, T5).

Personal Attributes:

Strong problem-solving skills with a passion for data architecture.
Excellent communication skills with the ability to explain complex data concepts to non-technical stakeholders.
Highly collaborative, capable of working with cross-functional teams.
Ability to thrive in a fast-paced, agile environment while managing multiple priorities effectively.

Why Join Us?

Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
Work on impactful projects that make a difference across industries.
Opportunities for professional growth and continuous learning.
Competitive salary and benefits package.

Ready to make an impact? Apply today and become part of the QX impact team!

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About QuaXigma IT solutions Private Limited

Founded :

2019

Type :

Products & Services

Size :

20-100

Stage :

Profitable

About

N/A

Company social profiles

N/A

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You should be VERY well versed with Agile Methodology and Iterative development.
You should have worked in an Agile process and be familiar with standard development tools and processes Viz., code reviews, Bitbucket/Git, PivotalTracker/JIRA, etc.
In addition to Frontend skills (Angular, React, HTML, Bootstrap), they MUST HAVE server- side skills.

Senior Frontend Developer - React.js/AngularJS

at Kraftshala

1 recruiter

Posted by Divij Gupta

NCR (Delhi | Gurgaon | Noida)

2 - 4 yrs

₹6L - ₹10L / yr

React.js

AngularJS (1.x)

Javascript

About: Kraftshala is India’s premier business training and assessment platform and the largest online educator amongst students of top 50 business schools, including all IIMs, ISB, XLRI, FMS, SP Jain etc. Our programs, built in collaboration with the aspirational recruiters like Unilever, Nestlé, 3M etc help students prepare for placements and jobs. The Kraftshala learning model combines industry relevant content with hands-on projects, one-on-one coaching from experienced mentors and access to exclusive jobs based on INDUSTRYCreds™ scores, which is a 360° assessment that maps closely to students’ on the job performance. The INDUSTRYCreds scores are the only academic score on the basis of which major recruiters offer direct interviews to high potential students, enabling those companies to hire better trained talent at substantially reduced costs. Kraftshala is backed by noted investors Doreswamy Nandkishore (Former Fortune 100 CEO, Head of Asia, Oceania, Africa for Nestlé S.A.), Pallav Jain and Sarfaraz Khimani (co-CEOs of Performics, one of India’s largest performance marketing agencies). We are an ambitious team of professionals who are gunning to bring transformative changes to the higher education and training ecosystem.  What you will be doing : - - You will be working on consumer product made using React.js, Redux and TypeScript in front-end used by thousands of India’s best business students and working professionals, plus leading a team of front-end developers.   - We are working to gamify the learning experience for our users. You will be responsible for :  - Taking control of the development of these products, work in association with technology team to maintain and build these platforms   - Leading the team of front-end developers and defining the technology roadmap  - Implementing and maintaining features in Kraftshala's applications, web services and products   - Interacting with a product and design teams to spec, build, test and deploy new features   - Improving testing, streamlining product releases and maintain product quality   - Understanding and implementing security and data protection   - Maintaining code integrity and organization   - Designing the overall architecture of the web applications   - Maintaining quality and ensure the responsiveness of applications   - Collaborating with the rest of the engineering team to design and launch new features   What you need :  - Engineering degree with 2-4 years of web and/or mobile development experience    - Exposure to building web and mobile applications and services on the web platform with ReactJS   - Strong product and design sensibilities and obsessive attention to detail   - Experience working with graphic designers and converting designs to visual elements   - Comfortable working across the stack including prototyping, development, testing, and deployment   - Able to take complex problems and break them down into smaller tasks   - Comfortable with iterative development practices and code reviews   - Deep understanding of software development principles   Plus points :  - Experience working on large scale PHP applications with React.js and AngularJS   - Experience with Data & ML-based applications   - Previous experience as a part of a consumer product-oriented team   - Contributions to open-source ecosystem

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