Job Description

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. Bachelors 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, Neo4jb. Azure Redis/ Cognitive Searchc. Azure OpenAI Serviced. Azure ML Studio Modelse. 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. 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. 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. Bias detection, interpretability (SHAP, LIME), and security (adversarial attacks). Linear Algebra, Probability, and Optimization (Gradient Descent, Regularization, etc.). 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!