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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

3–5 yearsMUMBAIofficeDirect Career PageEst. 10–18 LPA

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Popular mid-level fullstack role in a metro city with broad, non-niche skill requirements.

Background Fit Sensitivity

(Low)

General full-stack skills transferable across industries; AI experience is only a nice-to-have.

Shortlisting Strictness

(Moderate)

Explicit 3–5 year requirement plus mandatory frontend/backend stack and cloud familiarity filters candidates.

Estimated fit based on your resume

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Structured overview of role & requirements

Design and develop end-to-end features across frontend and backend systems to support AI platform capabilities.

Build scalable APIs, user interfaces and integrate ML models into production to enable AI-driven applications.

Own projects from concept through deployment, improving platform reliability, performance, and developer experience.

3-5 years of full-stack software engineering experience.

Proficiency with modern frontend frameworks such as React and TypeScript.

Backend experience in Python, Go, or similar languages.

Experience with API development (REST or GraphQL) and cloud infrastructure (AWS, GCP, or Azure).

Developer with strong product mindset able to translate requirements into technically sound solutions in AI platform context.

Experience working cross-functionally with ML engineers and contributing to architectural and technical decisions.

Comfortable operating in fast-paced, evolving environments with ownership from development to deployment.