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Tier-1 brand, Bengaluru metro, and mid-level AI full-stack role attract many qualified applicants.
Role demands specialized AI agent, platform, and enterprise integration experience, limiting cross-industry transferability.
Explicit 6–10 years plus mandatory AI, platform, and leadership experience makes filters stringent.
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Own and build full-stack consoles and dashboards for AI agent workflows to enable decision-making by product managers, engineers, security teams, and executives.
Design and deliver live telemetry and value reporting dashboards reflecting cycle time, throughput, quality, adoption, agent health, and cost for AI-powered software delivery lifecycle.
Develop backend-for-frontend layers, APIs, enterprise-grade authentication, and ensure reliability and observability in the React-based tech stack supporting AI operational surfaces.
6-10 years of professional software engineering experience with ownership of large-scale production systems.
Significant experience designing and deploying large language model (LLM)-powered applications, AI agents, or intelligent automation platforms.
Expert-level proficiency in Python, Java, or TypeScript, with strong background in distributed systems, APIs, cloud-native and event-driven architectures.
Experience leading technical initiatives across teams and strong communication skills to explain AI systems to both technical and non-technical audiences.
Experienced in building AI agent consoles or orchestration platforms with focus on human-agent interaction and trustworthiness of AI workflows.
Technical leadership background including establishing architecture, standards, and engineering directions for AI systems in enterprise environments.
Ability to turn telemetry into actionable executive narratives and create frontend/backend patterns reusable across AI agent fleets and workflows.