Back
Mid-level AI engineer in Bengaluru with metro location and generalist backend skills yields moderate competition.
Specialized agentic LLM tooling and AI workflows raise domain specificity, limiting cross-industry portability.
Explicit 4–7 years plus mandatory Go/Python, cloud, Kubernetes, and Claude/Cursor increases shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead adoption of AI-first engineering workflows and agentic AI practices organization-wide, optimizing planning, development, testing, deployment, and operations.
Design, build, and maintain AI-powered product features and scalable backend systems for smart TV and home entertainment applications.
Develop internal AI agents and automation to enhance engineering productivity, and influence engineering best practices through mentorship and collaboration with leadership.
4-7 years of backend engineering experience in production environments.
Strong hands-on experience with Go, Python, 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.
Work mode: On-site in Bengaluru; full details on notice period not explicitly mentioned in the JD.
Experienced engineer fluent in agentic AI tools (Claude Code, Cursor) and AI workflow orchestration with LLMs and related technologies.
Ability to connect AI capabilities with product outcomes, driving AI-powered feature development and scalable backend services.
Comfortable working in a fast-paced startup environment with high ownership and influencing engineering culture and strategy.