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Tier-1 brand, mid-level AI/full-stack title, and Bangalore location increase applicant competition.
Role requires specialized LLM/agent, cloud, and integration experience, limiting cross-industry transferability.
Multiple mandatory years, LLM experience, GCP/Vertex and Snowflake requirements make screening strict.
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Design, build, and deploy AI autonomous agents with multi-step workflows using Google Agent Builder and LLM-powered applications.
Develop and integrate full-stack applications and services with Snowflake, internal systems, and third-party APIs enabling task execution and user supervision of agents.
Implement observability, evaluation, guardrails, and cost/performance optimizations ensuring reliable, safe, and production-grade AI agent deployment.
5+ years software engineering experience with strong full-stack skills (Python/TypeScript; React or similar).
3+ years hands-on experience building LLM-powered or agentic applications involving tool calling, retrieval-augmented generation, and orchestration.
Practical experience with GCP, preferably Vertex AI / Google Agent Builder, and working knowledge of Snowflake and SQL.
Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.
Experienced in delivering AI-driven automation from requirements through production with user adoption and measurable impact.
Skilled in building scalable, event-driven cloud architectures with expertise in LLM orchestration, agent frameworks, and GenAIOps concepts.
Comfortable working cross-functionally with AI platform, data engineering, FinOps, and business users to optimize cost, reliability, and agent performance.