Teams at Newfold Digital

Lead the design, deployment, and operation of scalable AI/ML models and generative AI applications. Manage and mentor distributed engineering teams, own the AI capability roadmap, collaborate with product and engineering stakeholders, and align technical delivery with business goals. Oversee model monitoring, performance optimization, governance, and responsible AI practices across enterprise systems supporting e-commerce and payments.

Build and operate production AI systems including conversational agents, RAG applications, tool-calling workflows, knowledge agents, and intelligent automation. Design backend services, distributed event-driven architectures, evaluation pipelines, model integrations, observability, and reliability safeguards. Diagnose hallucinations, retrieval issues, agent failures, latency, provider problems, and inference costs. Independently translate ambiguous product goals into secure, scalable, measurable, and cost-efficient AI products.

Build and operate production AI systems including conversational agents, RAG applications, tool-calling workflows, intelligent automation, and LLM integrations. Develop Python backend services, APIs, asynchronous workers, event-driven workflows, and data systems. Implement evaluations, observability, reliability, security, guardrails, and cost optimization while debugging retrieval, hallucination, latency, and agent execution issues. Collaborate with engineering, architecture, and product teams to turn product goals into maintainable AI features.