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.