Senior Manager, GenAI Full Stack

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.