Description
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.

Responsibilities
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.

Qualifications
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
📍 Gurugram