EXL

Analyzes business data and runs outsourced operations

Senior Manager - GenAI Full Stack

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

Full-timeGurugram, Haryana, IndiaNo salary listedIn-person

About the Job

Requirements

Strong Python programming skills.
Familiarity with application programming interfaces (APIs), including OpenAI and Anthropic.
Basic usage of LangChain or LlamaIndex.
A bachelor's degree in Computer Science or a related field.
Three to four years of software or data engineering experience, with demonstrated exposure to large language model (LLM) APIs.

Responsibilities

Architect and 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 (CI/CD) pipelines for AI software components.
Ensure seamless, low-latency integration between modern frontends built with React or Next.js and Python/FastAPI backends running AI models.

Role Overview: Architect and 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: Strong Python programming, familiarity with APIs (OpenAI, Anthropic), basic LangChain/LlamaIndex usage.
Qualifications: Bachelor’s in CS or related field; 3–4 years software or data engineering experience with demonstrated exposure to LLM APIs.

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

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