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Metro Bangalore mid-level AI/backend role with broad skills and moderate brand visibility yields medium competition.
Specialized agentic AI, LLM tooling, and product integration create high domain specificity and low cross-industry transferability.
Explicit 4–7 years plus mandatory Go/Python, Claude Code, Cursor, cloud, and Kubernetes creates high filtering.
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Lead the transition to AI-first engineering workflows and implement agentic AI practices across planning, development, testing, deployment, and operations.
Build and optimize AI-powered internal agents, automation systems, and product features including search, recommendations, personalization, content discovery, and automation.
Develop and maintain scalable backend systems, APIs, and cloud services ensuring reliability, security, and observability while mentoring engineers on AI-assisted development.
4–7 years of backend engineering experience in production environments.
Proficiency in Go and Python with strong understanding of backend systems, APIs, distributed systems, databases, caching, queues, and observability.
Experience with Docker, Kubernetes, CI/CD pipelines, AWS, GCP, Claude Code, and Cursor in real-world software development.
Location requirement: Bangalore (Work from Office).
Experienced in integrating LLMs, AI models, and AI workflow orchestration into production-grade applications and engineering practices.
Demonstrates strong product thinking connecting AI capabilities with user outcomes and high ownership in fast-paced startup environments.
Skilled in influencing and mentoring technical teams to adopt cutting-edge AI-assisted software development workflows.