Senior Manager, GenAI Full Stack
This senior manager will architect and lead the development of enterprise GenAI application layers, connecting LLM backends to scalable frontends with low latency. They will oversee cloud deployments on AWS, Azure, or GCP, integrate CI/CD pipelines, and ensure seamless microservice architecture for streaming LLM responses.
Skills required
About this role
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 modern
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.
