Job Description

Assistant ManagerEXL/AM/1462646


ServicesGurgaon
Posted On
26 Aug 2025
End Date
10 Oct 2025
Required Experience
2 - 4 Years



Basic Section
Number Of Positions


1


Band


B1


Band Name


Assistant Manager


Cost Code


D901098


Campus/Non Campus


NON CAMPUS


Employment Type


Permanent


Requisition Type


New


Max CTC


1000000.0000 - 2000000.0000


Complexity Level


Not Applicable


Work Type


Hybrid - Working Partly From Home And Partly From Office


Organisational
Group


Analytics


Sub Group


Retail Media & Hi-Tech


Organization


Services


LOB


Retail Media & Hi-Tech


SBU


Analytics


Country


India


City


Gurgaon


Center


EXL - Gurgaon Center 38




Skills
Skill


ML


AI


FULL STACK


Minimum Qualification


ANY GRADUATE


Certification


No data available

Job Title: Senior AI & Full Stack Engineer

Location:

India (Remote/Hybrid - [Gurugram])

Experience Level:

3-5 Years

Employment 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.
Workflow
Workflow Type


L&S-DA-Consulting