Full Stack SDE III - (Agentic AI)

What You'll Do End-to-End Product Ownership: - > Translate business goals into working, deployable systems-> Define architecture, workflows, and implementation plans > Ship and maintain production-grade systems — not demos or prototypes Rapid Prototyping & Iteration > Turn ambiguous ideas into working demos within hours or days-> Prototype using code, AI tooling, automation, or low-code systems > Validate through experiments and real user feedback, then iterate to production quality Build AI-Native Systems > Design and orchestrate LLM agents, retrieval pipelines, workflow automation, memory layers, APIs, and guardrails. Build for resilience against hallucinations, model variability, and quality degradation over time. Design For Scale, Cost & Performance > Reason through token consumption, inference cost, latency constraints, infrastructure scalability, and system resilience. The goal: systems that work efficiently at scale. Operational Excellence -> Instrument systems with monitoring and telemetry- > Build evaluation loops for continuous quality improvement > Automate workflows that increase engineering velocity > Maintain clear, repeatable documentation Minimum Qualifications Demonstrated track record of shipping production systems Strong systems thinking and logical reasoning High ownership mindset; operates well with minimal supervision Comfortable with ambiguity and fast iteration cycles Experience with APIs, automation tools, or AI platforms Ability to reason about infrastructure tradeoffs and system reliability Preferred Qualifications Experience building LLM-based or AI-driven products Familiarity with evaluation frameworks, monitoring, or instrumentation Experience with data pipelines, analytics, or telemetry Strong UX and front-end sensibility Portfolio or GitHub showcasing deployed systems Stack: React / Vue / Angular Node.js / Python / Java Skills: vue.js,node.js,react.js,fullstack development