• Own and deliver the production AI harness (assistant-style features: agent loop, tools, guardrails, and evaluations) while driving developer automation and large-scale migration work. • Take ownership of end-to-end systems and not prompt-only or notebook-only work.

• Lead solution architecture and technical design for IVR and voice bot initiatives. • Design and develop Node.js / TypeScript microservices aligned to cloud‑native and low‑latency voice requirements. • Own end‑to‑end delivery for complex features, from design through production. • Apply agentic AI patterns using Gemini, LangGraph, and LangChain to enhance conversational behavior. • Collaborate across the contact center technology ecosystem to support call routing, self‑service, and agent handoff scenarios. • Establish and enforce engineering standards, including code quality, testing, and deployment practices. • Perform code reviews and mentor engineers, raising the overall technical bar. • Apply SRE principles to ensure observability, resiliency, and production readiness. • Ensure solutions comply with security and regulatory requirements (PII / PCI).

• Design and build a high-performance, fault-tolerant pricing engine from the ground up • Solve complex challenges in distributed systems, scalability, and reliability • Work across the stack—from low-level system interactions to distributed algorithms and APIs • Partner with engineers and stakeholders to shape the future of airline retailing technology

• Design, develop, and optimize backend services and APIs for high-load, distributed systems • Contribute to frontend components using React and Next.js when required • Ensure scalability, reliability, and security across all services • Apply best practices in software architecture, code quality, and testing • Participate in code reviews, mentoring, and technical discussions • Collaborate with product managers, designers, and other engineers to deliver end-to-end features