Teams at Newfold Digital

Design and scale Python async APIs and AI platform services using FastAPI, Semantic Kernel, LLM providers, RAG, vector stores, and tool-using agents. Manage PostgreSQL schemas, CI/CD, Docker deployments, observability, and performance optimization. Build provider-agnostic model integrations and multi-agent workflows while promoting AI-assisted development and practical engineering practices.

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.

Design and scale asynchronous Python backend systems, including REST and WebSocket APIs, multi-agent AI workflows, provider-agnostic LLM integrations, and RAG pipelines. Develop database schemas, optimize production performance, implement observability, and own CI/CD from testing through deployment. Establish AI development guardrails around code review, licensing, provenance, data privacy, and security. The role requires end-to-end ownership, rapid iteration, and production delivery of AI-native platform capabilities.