UX Product Designer (B2C, Fin-Tech),

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!

Physical Design Integration Engineer

Bengaluru, Karnataka, India

Role

Join our close-knit physical design team where you'll excel in synthesizing, placing, routing and integrating high speed designs. Experience the full spectrum of physical design and implementation, collaborating closely with the RTL team and integrating these blocks seamlessly into the full-chip architecture.

Minimum Skills & Qualifications

10+ years of physical design, integration & physical verification experience.

Strong knowledge of block level and full-chip physical verification methodology.

Experience with the complete physical design flow.

Skills in Design Compiler, Fusion Compiler, ICC2 or similar physical design tools

Expert with ICV or Calibre tools resolving block and full-chip DRC and LVS issues.

Expert with IR/EM analysis and resolution

Good understanding of full chip floor planning and integration.

Strong experience in full chip timing closure

Demonstrated ability to work with RTL teams to optimize for physical design

Ability to independently debug and resolve physical verification Issues

BS or MS in Electrical Engineering

Preferred Skills:

Knowledge of Synopsys tool suite is a plus.

Good scripting skills with languages like Tcl and Python. Ability to make flow enhancements.

Assist in developing and executing marketing strategies to drive brand awareness and customer acquisition

- Collaborate with cross-functional teams to ensure marketing campaigns are aligned with overall business objectives

- Analyze market trends and consumer behavior to identify opportunities for growth

- Manage and optimize digital marketing channels, including social media, email, and paid advertising

- Monitor and report on key performance metrics to track the success of marketing campaigns

- Stay up-to-date on industry trends and best practices to continuously improve marketing efforts

Overview

Apiwiz (Itorix Inc) is looking for software engineers to join our team, grow with us, introduce us to new ideas and develop products that empower our users. Every day, you’ll work with team members across disciplines developing products for Apiwiz (Itorix Inc). You’ll interact daily with our product managers to understand our domain and create technical solutions that push us forward. We want to work with other engineers who bring knowledge and excitement about our opportunities.

You will impact major features and new product decisions as part of our remarkably high performing, collaborative team of engineers who thrive on the business impact of their work. With strong team support and significant freedom and self direction, you will experience the wealth of interesting, challenging problems that only a high growth startup can provide.

Roles & Responsibilities

• Build, configure, and manage cloud compute and data storage infrastructure for multiple instances of AWS and Google Cloud Platform.
• Manage VPCs, security groups, and user access to our various public cloud systems and services.
• Develop processes and procedures for using cloud-based infrastructures, including, access key rotation, disaster recovery, and building new services.
• Help the business control costs by categorizing and tagging assets running in the cloud.
• Develop scripts and workflows to manage cloud computing systems
• Provide oversight on log aggregation and application performance monitoring surrounding our production environments.

What we’re looking for

• 2-3 years of experience in the provision, configuring, administrating, automating, monitoring, and supporting enterprise Cloud services
• Strong experience in designing, building, maintaining and securing AWS resources for high-availability and production level systems and services
• Familiar with Cloud concepts with practical hands-on experience on any Cloud Platform.
• Hands-on experience with AWS services like Elastic Compute Cloud (EC2), Elastic Load-balancers, S3, Elastic File system, VPC, Route53, and IAM.
• Providing 24/7 support for the application and Infrastructure support
• Prior experience using infrastructure as a code software tool like Terraform.
• Knowledge in software provisioning, configuration management, and application-deployment tools like Ansible.
• Working knowledge of container technologies like Docker & Kubernetes cluster operations.
• Familiarity with software automation tools Git, Jenkins, Code Pipeline, SonarQube

Roles and Responsibilities

• Working with designers, product managers to collaboratively own the front-end layer at FalconBrick and deliver stellar end user experiences
• Building responsive and elegant mobile and desktop web UIs
• Test, debug and maintain the application software throughout the product lifecycle
• Architect, develop and maintain front-end libraries

Desired Candidate Profile

• You love working with JavaScript and are very familiar with JavaScript design patterns and can build fairly complex UI
• Have at least 2 years experience in development of responsive web/mobile applications using advanced JS and web technologies
• And with at least 1 year of experience building frontend UI with a framework like ReactJS
• Youre very comfortable in writing HTML and CSS and love designing beautiful webpages
• Have good communication skills, strong work ethics And are comfortable with agile, iterative development practices and code reviews