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 contemporary
frontends (React/Next.js) and Python/FastAPI backends running AI models.
Qualifications
Required Skills & Qualifications
Tech Stack: Robust 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
🏢 Important Company of the Sector
📍 Gurugram
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.