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Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

4–7 yearsofficeDirect Career PageEst. 12–22 LPA

Posted 12h ago

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Mid-level generalist fullstack GenAI role with broad stack requirements and metro appeal.

Background Fit Sensitivity

(Moderate)

Requires GenAI model integration and fullstack cloud skills, moderately limiting cross-industry transferability.

Shortlisting Strictness

(High)

Explicit 4–7 years plus required fullstack, cloud, and AI tech stack enforces strict shortlisting.

Estimated fit based on your resume

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Structured overview of role & requirements

Lead design and development of scalable microservices for GenAI applications handling LLM requests and streaming.

Manage cloud deployments and DevOps, including CI/CD integration, on AWS, Azure, or GCP platforms.

Ensure seamless, low-latency integration between React/Next.js frontends and Python/FastAPI AI model backends.

Bachelor’s or Master’s degree in Computer Science.

4–7 years of full-stack development experience with recent focus on AI/ML web app integration.

Proficient in Python (FastAPI/Django), JavaScript/TypeScript (React, Node.js), Docker, Kubernetes, and AWS/Azure AI services.

Experience with cloud deployments and managing CI/CD pipelines for AI software.

Experienced in designing scalable application architectures for AI-powered enterprise solutions.

Comfortable managing end-to-end cloud deployments and DevOps for AI applications.

Strong full-stack development expertise bridging AI model backends with modern frontend frameworks.