SEO Executive (Fresher)

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

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

4.      NLP & Computer Vision

1. NLP: Tokenization, embeddings (Word2Vec, BERT, T5, LLaMA).
2. CV: Image generation using GANs, VAEs, Stable Diffusion.
3. Document Embedding – Experience with vector databases (FAISS, ChromaDB, Pinecone) and embedding models (BGE, OpenAI, SentenceTransformers).
4. Text Summarization – Knowledge of extractive and abstractive summarization techniques using models like T5, BART, and Pegasus.
5. Named Entity Recognition (NER) – Experience in fine-tuning NER models and using pre-trained models from SpaCy, NLTK, or Hugging Face.
6. 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

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

6.      AI Ethics & Responsible AI

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

7.      Mathematics & Statistics

1. 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!

We are seeking a mid-to-senior level Full-Stack Developer with a foundational understanding of software development, cloud services, and database management. In this role, you will contribute to both the front-end and back-end of our application. focusing on creating a seamless user experience, supported by robust and scalable cloud infrastructure.

Key Responsibilities

● Develop and maintain user-facing features using React.js and TypeScript.

● Write clean, efficient, and well-documented JavaScript/TypeScript code.

● Assist in managing and provisioning cloud infrastructure on AWS using Infrastructure as Code (IaC) principles.

● Contribute to the design, implementation, and maintenance of our databases.

● Collaborate with senior developers and product managers to deliver high-quality software.

● Troubleshoot and debug issues across the full stack.

● Participate in code reviews to maintain code quality and share knowledge.

Qualifications

● Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

● 5+ years of professional experience in web development.

● Proficiency in JavaScript and/or TypeScript.

● Proficiency in Golang and Python.

● Hands-on experience with the React.js library for building user interfaces.

● Familiarity with Infrastructure as Code (IaC) tools and concepts (e.g.(AWS CDK, Terraform, or CloudFormation).

● Basic understanding of AWS and its core services (e.g., S3, EC2, Lambda, DynamoDB).

● Experience with database management, including relational (e.g., PostgreSQL) or NoSQL (e.g., DynamoDB, MongoDB) databases.

● Strong problem-solving skills and a willingness to learn.

● Familiarity with modern front-end build pipelines and tools like Vite and Tailwind CSS.

● Knowledge of CI/CD pipelines and automated testing.

Role Overview

We are looking for a DevOps Engineer with 2 – 5 years of experience working on AWS-based production systems. This role strictly requires hands-on experience managing production databases (MongoDB / SQL).

👉 Please apply only if you have hands-on experience managing databases in a production environment.

Key Responsibilities:

• Build and maintain AWS infrastructure with focus on availability, security, and cost.
• Deploy and operate Kubernetes (EKS) clusters and containerized applications in production.
• Manage and scale production databases (backup, replication, performance tuning, upgrades).
• Design and maintain CI/CD pipelines for automated deployments.
• Manage MongoDB or SQL in high-scale environments.
• Implement Infrastructure as Code using Terraform.
• Set up monitoring, logging, and alerting.
• Handle production incidents, on-call support, and RCA.
• Automate ops tasks using Bash / Python.

Requirements:

• 2 – 5 years of DevOps experience.
• Hands-on experience managing production databases (MongoDB or SQL).
• Strong AWS & Kubernetes (EKS) experience in production.
• Experience with CI/CD tools (Jenkins / GitLab CI / GitHub Actions / ArgoCD), Terraform, Linux and networking fundamentals.
• Scripting: Bash / Python.
• Immediate joiners preferred.

Experience with MongoDB is preferred, though candidates with solid SQL database experience will also be considered.

Conversation Designer

The Opportunity 

Digit88 is establishing a new product development team for its US based partner and helping multiple clients achieve their AI and automation goals by designing effective, innovative, and delightful conversational experiences. 

Job Profile: 

Digit88 is looking for an enthusiastic, self-motivated, hands-on Conversational Designer to help kickstart the offshore conversational design team for our partner. Candidates must be responsible for designing the user experience of a virtual assistant. They ensure that the virtual assistant is conversationally engaging, impactful for the end-user, and matches the voice of the brand. Experience with a fast-paced India/US product start-up or a product engineering/design company who is capable of making user-centric design, having knowledge of NLP & customer journeys is desired. Applicants must have a passion for AI, be highly motivated and organized, able to work as part of a team, and also possess the ability to work collaboratively in a dynamic environment. 

Roles and Responsibilities: 

•  Design effective, innovative, and delightful conversational experiences using user-centric design methodologies 
• Work with major enterprise brands to understand their business goals, their customer personas and intents to define an automation roadmap 
• Research and analyze intents and the associated customer journeys. Evaluate when bots are appropriate and in what form 
• Create bot design documents, including bot personas, example dialogs, conversation flow diagrams, error handling patterns 
• Define the intent portfolio for natural language understanding and how it maps in to conversation designs ● Review customer transcripts to identify gaps in the conversation design; modify design patterns to bridge those gaps 
• Write copy suitable for automated conversations in the messaging medium 
• Interpret bot performance metrics to hypothesize where design changes can be made and tested to drive specific goals 
• Review and give feedback on designs from peers, including mentoring colleagues who may or may not be designers 
• Create and evangelize conversation design best practice standards, reusable design patterns and processes ● Should be comfortable in a client-facing role, advising customers and evangelizing non-design team members on conversation design best practices, processes, and reusable patterns. 
• Demonstrate effective verbal and written communication to internal executives, C-level clients, partners, and team members

Skills Requirements:

• To be successful in this role, you should possess:
• Bachelor’s Degree with experience in design, human-computer interaction (HCI), or equivalent
• professional experience
• At least 1 year prior experience in bot strategy, conversation design, and AI optimization.
• We consider diverse backgrounds - prior UX Content Strategy, Information Architecture, or UX Writing
• experience
• Strong prioritization skills.
• Excellent mastery of verbal and written english language.
• Knowledge of Natural Language Understanding technologies and platforms such as Dialog Flow, Watson,
• LUIS, etc. and how it impacts conversation designs
• Knowledge of messaging channels such as web messaging, SMS, Whatsapp, etc. and what the advantages
• and disadvantages are of each
• Contact center and/or customer service experience a plus

Must have skills :

6+ Years Java, Spring - 4+ years, Node JS / React JS - 4+ years

Responsibilities:

Code, test and debug programs according to specifications.

Build new and modifying existing applications.

Develop software prototypes.

Write unit tests and functional tests (automation).

Perform manual tests.

Use tools to access data in datastore, version control systems, etc.

Practice Agile methodologies.

Frequently interface with other functional teams on all aspects of a feature or sub-system 

• Manual Testing and Automation Testing (Any tool).
• Good knowledge of UI automation using Selenium
• Writing advanced SQL queries and data validation technique
• Functional Testing
• Experience in Regression testing & Defect life cycle management
• Good Experience of working in an AgiLe
• Experience working with defect management tools like JIRA Well versed with all types of testing artifacts.
• Experience in Api testing
• Experience in Mobile App testing
• Good understanding of SDLC
• Good Communication