4 Llm Frameworks Jobs

Overview The AI Solution Architect will be responsible for designing and guiding the technical architecture for the rapid delivery of Machine Learning (ML) and Large Language Model (LLM) powered applications. This role requires a strong understanding of end-to-end system design, integration principles, and the ability to translate business needs into clear and scalable technical blueprints. The architect will ensure seamless integration of various components, optimize for scalability, and effectively communicate architectural designs and trade-offs to both technical and non-technical stakeholders. Key Responsibilities: Design and document end-to-end technical architectures for rapid prototyping and Proof-of-Concepts (POCs) of ML and LLM powered applications. Translate complex business requirements into actionable and well-defined technical designs, considering factors such as performance, scalability, security, and maintainability. Architect the integration of various systems, including APIs (REST, gRPC, etc.), databases (SQL, NoSQL), and front-end applications, within tight project timelines and constraints. Define data pipelines and data storage solutions optimized for ML/LLM workloads. Select appropriate technologies, frameworks, and tools for building and deploying AI solutions. Ensure the scalability and reliability of the designed architectures. Collaborate closely with development teams to provide architectural guidance and support throughout the development lifecycle. Communicate architectural designs, trade-offs, and technical complexities clearly and concisely to both technical and non-technical stakeholders, including product managers, business analysts, and executives. Identify and mitigate potential technical risks and challenges. Stay up-to-date with the latest advancements in AI/ML/LLM technologies and architectural patterns. Contribute to the development of architectural best practices and standards within the organization. Requirements Skills & Experience: Proven experience in designing end-to-end technical architectures for rapid prototyping or POCs, with a strong emphasis on ML/LLM components. Demonstrated ability to break down complex business requirements into clear, actionable technical designs and specifications. Hands-on experience integrating multiple systems, including APIs (REST, gRPC, etc.), databases (SQL, NoSQL), and front-end applications, under tight timelines and constraints. Excellent communication and presentation skills, with the ability to effectively articulate complex technical concepts and architectural trade-offs to both technical and non-technical team members. Strong understanding of cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Experience with containerization technologies (e.g., Docker, Kubernetes). Familiarity with data engineering principles and tools. Understanding of software development methodologies (e.g., Agile, Scrum). Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. Preferred Qualifications: Experience with specific ML/LLM frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers). Experience with MLOps practices and tools for deploying and managing ML models. Knowledge of security best practices for AI applications. Experience in a fast-paced startup or innovation-driven environment.

Across India (Noida, Pune, Hyderabad, Chennai and Banglore) Full time Skill & Experience 11+ years of experience preferred. Advanced degree in computer science, data science, or a related field. Deep understanding of LLM architectures, algorithms, and techniques. Strong experience in Python, SQL. Should be extremely comfortable with Numpy, Pandas, Matplotlib and Scikit learn python libraries Strong understanding of machine learning concepts and algorithms. Should know deep learning techniques such as clustering, decision trees, random forest, etc. Knowledge on text classification, sentiment analysis, named entity recognition, machine translation, text summarization and question-answering is must. Experience with LLM frameworks (Hugging Face Transformers, TensorFlow, PyTorch) Experience with data labeling and annotation tools. Certifications in cloud platforms or ML technologies can be a plus. Proficient knowledge of cloud platforms (AWS, GCP, Azure). Strong problem-solving and analytical skills. Ability to work in team-oriented, collaborative environment.

Job Overview : This is a Full-time role for a Generative AI Engineers for our client in Software Development, in Bangalore/Bengaluru, Karnataka. We are seeking a talented and experienced Generative AI Engineer to join our client team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and programming with a focus on generative models. You will be responsible for designing, developing, and implementing cutting-edge generative AI solutions to solve complex problems and enhance our clients products and services. As part of a cross-functional engineer, you'll work closely with project managers, and DevOps professionals to enhance functionality, optimize workflows, and deliver high-quality Software. Success in this role is measured through key performance indicators (KPIs) such as System Performance, Code Quality, Team Effectiveness, Project Success. Role & responsibilities Design/develop multi-agent AI systems, architect RAG system/knowledge graphs Create proper engineering frameworks Build orchestration systems Implement generative AI techniques Collaborate on custom AI solutions Maintain scalable cloud AI Infrastructure Required Skills & Qualifications : Graduate/ Masters in Computer Science/AI related streams; model skills fine-tuning experience; multimodal AI knowledge; containerization/orchestration skills 3-5 years generative AI/LLM experience; expert Python skills; experience with LLM frameworks, multi-agent systems, vector databases; cloud proficiency (AWS, GCP, Azure) Compensation and Benefits: Base Salary: Competitive salary range based on experience and performance. Bonuses & Incentives: Performance-based bonuses. Health & Wellness: Comprehensive medical insurance. Career Growth: Ongoing training programs, professional development courses, mentorship opportunities, and career advancement prospects. Immediate joiner within 15 days 30 days notice period

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!