EXL

4604091-Manager

Reposted One Month Ago

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Gurugram, Haryana, IND

Hybrid

Senior level

Information Technology • Database • Consulting

The Role

Design, build, fine-tune, and deploy LLM-based and multimodal AI applications and RAG pipelines. Apply deep learning (Transformers, CNNs, RNNs) and ML frameworks, integrate ML capabilities into full-stack applications (React/Angular + Python/Node), and architect cloud deployments (AWS/GCP/Azure). Collaborate with stakeholders, ensure scalability, security, and CI/CD/MLOps for production delivery.

Summary Generated by Built In

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. About the TeamEXL 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.

Skills Required

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related discipline
3-5 years of relevant experience
Hands-on experience with multimodal LLMs (e.g., GPT, Llama, Gemini, Claude)
Experience building RAG pipelines and working with vector databases (FAISS, Pinecone, Weaviate, Chroma) and embedding models (OpenAI, Hugging Face, Cohere)
Proven experience with ML/DL frameworks such as PyTorch or TensorFlow
Strong understanding of supervised/unsupervised learning, neural networks, and NLP
Familiarity with MLOps and CI/CD pipelines for ML models
Proficient in JavaScript/TypeScript and frontend frameworks (React, Angular, or Vue)
Backend development experience in Python (FastAPI, Flask, Django) or Node.js
Hands-on deployment experience on cloud platforms (AWS, GCP, or Azure) and services (Lambda, S3, EC2, GKE, IAM)
Experience with containerization (Docker) and orchestration (Kubernetes)
Working knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, etc.) and SQL
Strong problem-solving, business acumen, ownership mindset, and excellent communication in agile teams

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The Company

HQ: New York, NY

30,246 Employees

Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.