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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, metro location, and broad technical requirements increase competition.
Highly specialized data engineering and GenAI production skills reduce cross-industry transferability.
Explicit 10+ years requirement and many mandatory platform, AI, and cloud skills enforce strict screening.
Job Description
Structured overview of role & requirementsAbout This Role
Architect and develop large-scale, distributed data and AI systems including production-grade AI agentic systems for automation and analytics.
Lead full lifecycle of Generative AI agents deployment and maintenance using Kubernetes, Terraform, and CI/CD in Google Cloud Platform environment.
Define engineering standards for observability, scalability, and operational readiness; mentor engineers and drive operational efficiency improvements.
Minimum Requirements
10+ years in Software Engineering with focus on data systems, AI integration, and distributed architectures.
Proficiency in Python, FastAPI, agentic frameworks (LangGraph, LangChain), Kubernetes, Terraform, and GCP tools (BigQuery, Cloud Run, Vertex AI).
Bachelor's degree in Computer Science, Computer Engineering, Software Engineering or related with minimum 4 years relevant experience, or 6 years experience without degree.
Work Experience Required: 10+ years as explicitly stated in role-specific skills section.
Ideal Candidate Profile
Experienced in architecting and deploying scalable, AI-driven data platforms with production-grade autonomous agents.
Hands-on technical leader comfortable balancing strategic system design with engineering execution and team mentorship.
Proven ability with modern cloud-native technologies (GCP), container orchestration, and data infrastructure integrating generative AI workflows.