4604089-Assistant Manager

Job Title: Senior AI & Full Stack EngineerLocation: India (Remote/Hybrid - [Gurugram])Experience Level: 3-5 YearsEmployment Type: Full-Time ; ;Job Summary ;We are seeking a highly skilled and innovative Senior AI & Full Stack Engineer to join our Capability Team. This role is ideal for someone who thrives on solving real business problems using cutting-edge technologies, from LLMs and RAG-based AI systems to scalable full stack development and cloud deployment.You'll play a pivotal role in designing, building, and delivering intelligent solutions that combine the latest in AI/ML, deep learning, and modern application development-all the way from concept to deployment. ;Key Responsibilities ; ;Design, build, fine-tune, and deploy Large Language Model (LLM)-based applications to solve business challenges.Implement advanced Retrieval-Augmented Generation (RAG) pipelines with vector databases and embedding models.Apply deep learning techniques (e.g., Transformers, CNNs, RNNs) to build and optimize intelligent systems.Develop full-stack solutions using JavaScript (React/Angular) for frontend and Python/Node.js for backend services.Integrate ML/AI capabilities into user-facing applications seamlessly.Architect and deploy applications on cloud platforms like AWS, GCP, or Azure, ensuring high availability, scalability, and security.Collaborate with business stakeholders to gather requirements and translate them into technical designs and deliverables. ;Required Qualifications ;Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related discipline. ;Strong hands-on experience working with multimodal like GPT, Llama, Gemini, Claude, or similar.Experience building RAG pipelines using vector databases (e.g., FAISS, Pinecone, Weaviate, Chroma) and embedding models (e.g., OpenAI, Hugging Face, Cohere)Proven experience with ML/DL frameworks like PyTorch or TensorFlow. Strong understanding of supervised/unsupervised learning, neural networks, and NLP along with Familiarity to MLOps and CI/CD pipelines for ML models.Proficient in JavaScript/TypeScript using frameworks like React, Angular, or Vue, and experienced with backend development using Python (FastAPI, Flask, Django) or Node.js.Hands-on deployment experience on AWS, GCP, or Azure. Familiar with services like Lambda, S3, EC2, GKE, IAM, experienced in containerization using Docker and orchestration with Kubernetes.SQL and Database Experience: Working knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, etc.)Strong problem-solving abilities, business acumen, and ownership mindset.Excellent communication skills and experience collaborating in agile, cross-functional teams. ;Why Join Us? ;Work on cutting-edge AI/ML projects with real business impact.Be part of a forward-thinking, innovation-driven team.Opportunity to grow and shape the future of AI-driven products.Flexible work culture and room for continuous learning.EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration - and we've been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that's unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It's our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we're some of the best in the business. Contact us to see how we can help you achieve your goals.