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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong Tier-1 brand and Bangalore metro increase competition, but seniority and niche GenAI requirements reduce candidate density.
Requires enterprise-scale distributed systems and Generative AI experience, moderately industry-specific but broadly transferable technical skills.
Explicit 10+ years, Staff seniority, and mandatory fullstack plus GenAI tech stack indicate high shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Provide technical leadership and architectural direction for complex, high-impact engineering projects spanning backend, frontend, data, cloud, and AI domains.
Design, develop, and lead implementation of scalable, secure, high-performing enterprise applications and distributed systems, including microservices, APIs, and event-driven platforms.
Build and integrate Generative AI and LLM-powered solutions using platforms like Azure OpenAI and Google Gemini; ensure security, compliance, and operational excellence across systems.
Minimum Requirements
Bachelor’s degree in Computer Science, Engineering, or related technical field.
10+ years of software engineering experience building large-scale enterprise applications.
Strong hands-on expertise in Java, Spring Boot, Microservices, REST APIs, React.js, TypeScript, Python and distributed systems design and implementation.
Experience with Generative AI, LLMs, prompt engineering, embeddings, vector databases, AI agents, and agentic workflows.
Ideal Candidate Profile
Proven ability to influence architecture and technical direction across multiple teams without direct authority, balancing scalability, reliability, cost, and delivery.
Experience delivering complex solutions using cloud-native tools and modern architectures combining backend, frontend, data, AI, and automation.
Hands-on experience designing and deploying production-grade AI/ML systems with focus on security, observability, and operational best practices in a large enterprise environment.