EXL

Analyzes business data and runs outsourced operations

Manager – GenAI Full Stack Developer

AI Application Engineering +1Confirmed live in the last 24 hours

Full-timeGurugram, Haryana, IndiaNo salary listedIn-person

About the Job

Requirements

Proficiency with Python and FastAPI or Django.
Proficiency with JavaScript or TypeScript, including React and Node.js.
Experience with Docker and Kubernetes.
Experience with AWS or Azure AI services.
A Bachelor's or Master's degree in Computer Science.
Four to seven years of full-stack development experience, with a strong recent focus on integrating AI/ML models into web applications.

Responsibilities

Lead development of the application layer for enterprise generative AI solutions, connecting large language model backends to scalable frontends while managing API gateways and cloud deployments.
Design scalable microservices that handle large language model requests, streaming responses using Server-Sent Events, and context management.
Oversee deployment of AI applications on AWS, Azure, or Google Cloud Platform.
Integrate continuous integration and continuous delivery pipelines for AI software components.
Ensure seamless, low-latency integration between modern frontends such as React and Next.js and Python/FastAPI backends running AI models.

Role Overview: Lead the development of the application layer for enterprise GenAI solutions. Connect LLM backends to scalable frontends while managing API gateways and cloud deployments.

Required Skills & Qualifications

Tech Stack: Python (FastAPI/Django), JavaScript/TypeScript (React, Node.js), Docker,
Kubernetes, AWS/Azure AI services.
Qualifications: Bachelor’s/Master’s in CS; 4–7 years in full-stack development with a strong recent focus on integrating AI/ML models into web apps.

Key Responsibilities

Application Architecture: Design scalable microservices that handle LLM requests, streaming responses (Server-Sent Events), and context management.
Cloud & DevOps: Oversee the deployment of AI applications on AWS, Azure, or GCP.
Integrate CI/CD pipelines for AI software components.
Frontend & Backend Integration: Ensure seamless, low-latency integration between modern frontends (React/Next.js) and Python/FastAPI backends running AI models.

About the Company

EXL

Analyzes business data and runs outsourced operations

EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1999

Recently Posted Jobs

Explore more opportunities at EXL

See more jobs