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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 yearsUNKNOWNofficeDirect Career PageEst. 12–22 LPA

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

PwC brand, mid-level AI role, and metro location increase applicant competition.

Background Fit Sensitivity

(Moderate)

AI/ML engineering skills are transferable, though agentic AI and enterprise integration require domain-specific experience.

Shortlisting Strictness

(High)

Explicit 3–7 years and mandatory AI/agentic tooling skills make filters strict.

Estimated fit based on your resume

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Structured overview of role & requirements

Develop, maintain, and optimize AI-driven workflows focusing on Agentic AI systems.

Leverage AI development tools like GitHub Copilot and Cursor with advanced Python programming for AI solution design and deployment.

Integrate and scale AI workflows within enterprise environments ensuring efficiency and productivity enhancement.

3-7 years of experience in AI development and workflow automation.

Bachelor of Technology (BTech), Bachelor of Engineering (BE), or Master of Technology (MTech) from a reputed institution.

Strong proficiency in Python programming and experience with AI tools such as GitHub Copilot and Cursor.

Work Experience Required: 3-7 Years.

Experience in orchestrating autonomous AI agents and AI workflow automation at scale.

Hands-on expertise in prompt engineering, fine-tuning AI models, and AI-assisted software development.

Familiarity with cloud-based AI environments (Azure AI, AWS AI/ML, GCP AI/ML) and responsible AI practices.