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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong Tier-1 brand, metro locations, and broad GenAI/full-stack requirements produce high applicant competition.
Specialized GenAI, agentic systems, and enterprise integration require domain-specific experience, moderately limiting cross-industry transferability.
Explicit 7–9 years plus mandatory GenAI, full-stack, cloud, and security skills make filters highly strict.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and deploy agentic AI solutions including autonomous agents, multi-agent systems, and large language model-enabled applications.
Lead design and implementation of scalable, secure, maintainable full-stack and AI-enabled software solutions across the development lifecycle.
Evaluate emerging AI models, frameworks, and tools, prototype solutions, and support production deployments through monitoring, issue identification, and documentation.
Minimum Requirements
7-9 years experience in AI, machine learning, software engineering, or full-stack application development.
Proven experience designing, developing, and deploying generative AI or AI/ML solutions from use case definition through production.
Hands-on expertise in frontend development (Angular v14+ or React v18+ with TypeScript/JavaScript) and backend development (Java 11+ with Spring Boot/Spring MVC, Python, or Node.js).
Bachelor's degree in Engineering, Technology, Computer Applications, Computer Science, or equivalent.
Ideal Candidate Profile
Experienced in applying AI coding assistants (GitHub Copilot, Claude Code) and prompt engineering techniques to enhance software development workflows.
Skilled in integrating REST/GraphQL APIs, security patterns (OAuth 2.0, JWT, Spring Security), cloud and container technologies (Docker, Kubernetes).
Strategic thinker capable of evaluating AI-generated code for production readiness, security, performance, and maintainability across cutting-edge AI-enabled solutions in enterprise contexts.