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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand and Bangalore metro increase competition, but niche agentic AI specialization limits applicant density.
Role requires specialized agentic AI and enterprise platform experience, moderately limiting cross-industry transferability.
Many mandatory technical and productionized AI platform requirements imply rigorous screening and high filter strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Architect and develop a reusable AI platform enabling engineering data analysis, process automation, and risk assessment for Design Quality and Reliability.
Build and integrate AI agents, backend services, and APIs interfacing with engineering databases and quality management systems.
Ensure platform security, compliance, human oversight, and operational practices including CI/CD, testing, and auditability.
Minimum Requirements
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or related field.
Significant experience in software engineering, AI/platform engineering, or solution architecture with advanced Python skills.
Proficiency with Agentic AI coding assistants (e.g., Claude Code) and experience developing LLM applications, AI agents, and related systems.
Experience designing secure, scalable enterprise systems with CI/CD, monitoring, access control, and production operations.
Ideal Candidate Profile
Experienced in building AI platforms or agentic systems applied to engineering or complex data workflows.
Strong backend development and software architecture skills with collaborative experience across multidisciplinary engineering teams.
Familiar with semiconductor design or Design Quality and Reliability domain and compliance requirements for intellectual property and data security.