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
