4604089-Assistant Manager

EXL Talent Acquisition Team; Gurugram District; Hybrid; INR 1,800,000 - 2,400,000; Full time

Job summary

EXL Talent Acquisition Team in India invites a Senior AI & Full Stack Engineer to design, build, and deploy AI-powered applications, combining LLMs, RAG pipelines, and scalable full-stack development. The role emphasizes end-to-end delivery from concept to deployment.

You will work with modern AI/ML technologies, cloud platforms (AWS/GCP/Azure), and front-end frameworks (React/Angular) with Python/Node.js back end, in a flexible remote/hybrid setup around Gurugram.

Qualifications

• Bachelor’s or master’s degree in CS, AI, or Data Science.
• Experience with multimodal AI models and LLMs.
• Experience building RAG pipelines with vector DBs.
• Proficient in ML/DL frameworks (PyTorch or TensorFlow).
• Strong JavaScript/TypeScript front-end and Python/Node.js back-end.
• Cloud deployment on AWS/GCP/Azure; Docker and Kubernetes.
• SQL/NoSQL databases experience.
• Excellent communication and agile collaboration.

Responsibilities

• Design and deploy LLM-based applications to solve business challenges.
• Implement RAG pipelines with vector databases and embeddings.
• Apply deep learning techniques to build intelligent systems.
• Develop full-stack apps using React/Angular and Python/Node.js.
• Integrate AI capabilities into user-facing applications.
• Architect cloud deployments ensuring scalability and security.
• Collaborate with stakeholders to translate requirements into designs.

Skills

LLMs

RAG pipelines

Deep learning

NLP

MLOps

CI/CD for ML

JavaScript/TypeScript

Python/Node.js

Cloud deployment

Docker

Kubernetes

SQL/NoSQL

Education

Bachelors/Masters in CS/AI/Data Science

Tools

FAISS

Pinecone

Weaviate

Chroma

OpenAI embeddings

HuggingFace

PyTorch

TensorFlow

FastAPI

Django/Flask

React/Angular/Vue

AWS/GCP/Azure

Docker

Kubernetes

PostgreSQL

MongoDB

Job description

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.