Senior Manager, GenAI Full Stack
At a glance
Senior AI Engineering role at Fa Ewjt Saasfaprod1. Gurugram · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Design microservices to process LLM requests, stream responses through Server-Sent Events and manage conversation context
- Deploy AI applications on AWS, Azure or GCP, and connect CI/CD pipelines to their software components
- Connect React or Next.js frontends with Python and FastAPI services running AI models, keeping response times low
- Build the application layer for enterprise GenAI solutions, linking LLM services with scalable frontends and API gateways
What you bring
- You have a bachelor's degree in computer science or a related discipline
- You bring three to four years in software or data engineering, with hands-on exposure to LLM APIs
- You program strongly in Python and have used APIs such as OpenAI or Anthropic, plus basic LangChain or LlamaIndex
Who this fits
This senior role suits someone who can work across application architecture, cloud deployment and frontend-backend integration. It is a full-time hybrid position in Gurugram, India.
From the employer
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.
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.
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.