EXL Service · HR, India
Skills: React, Next.js, TypeScript, JavaScript, Node.js, Python, AWS, Docker, CI/CD
Job Description: Role Overview: 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: Python (FastAPI/Django), JavaScript/TypeScript (React, Node.js), Docker, Kubernetes, AWS/Azure AI services. Qualifications: Bachelor’s/Master’s in CS; 4–7 years in full-stack development with a strong recent focus on integrating AI/ML models into web apps.
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