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Senior Manager, GenAI Full Stack

EXL

Posted 29 Jun 2026

High payGreat Place to Work
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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.