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:
- 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:
- Tech Stack: Python (FastAPI/Django), JavaScript/TypeScript (React, Node.js), Docker, Kubernetes, AWS/Azure AI services.
- Qualifications: Bachelor’s/Master’s in CS; 5-8 years in full-stack development with a robust recent focus on integrating AI/ML models into web apps.
📌 Senior Manager (Bengaluru)
🏢 EXL
📍 Bengaluru
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