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 up-to-date
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.

📌 Senior Manager, GenAI Full Stack (Gurugram)
🏢 EXL Talent Acquisition Team
📍 Gurugram