Senior Manager, GenAI Full Stack
About the Role
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 Skills for This Role
Full Job Posting
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.
- Bachelor’s in CS or related field; 3–4 years software or data engineering experience with demonstrated exposure to LLM APIs.
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.
- 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.
About EXL
EXL is a global data and AI company that provides analytics, digital operations, and industry-specific services to enterprises in insurance, healthcare, banking, retail, media, and energy.
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