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Build and deploy AI agents that integrate with enterprise systems, optimize performance, and guide customers through Cresta’s AI platform using Python, Go, and LLM frameworks.
Build and maintain Cresta’s multi-cloud Kubernetes infrastructure, CI/CD pipelines, and ML ops tooling to ensure reliable, secure AI platform operations.
Build and deploy LLM-powered AI agents and real-time augmentation systems for contact centers using RAG, multi-agent orchestration, and evaluation frameworks.
Build and deploy next-gen AI agents and real-time agent-assist systems using LLMs, RAG, and multi-step workflows to power customer-experience platforms for enterprises like United Airlines and Marriott.
Build and optimize scalable backend systems powering Cresta’s AI Agents, focusing on reliability, performance, and integration with cloud-native technologies like Kubernetes and gRPC.
Build backend systems that integrate AI agents with contact-center platforms, enabling real-time conversations, seamless AI-to-human handoffs, and enterprise-grade orchestration.
Build and operate the low-latency runtime that powers real-time AI agents, handling stateful session management, LLM streaming, and distributed systems challenges in Python and Go.
Build and scale Cresta’s backend services and data platform using Python/Go, Postgres, ClickHouse, and Elasticsearch to power real-time AI-driven customer insights and engagement.
Build and scale Cresta’s real-time voice infrastructure and AI-powered backend services in Go, integrating SIP/WebRTC and multilingual pipelines for enterprise contact centers.
Build and improve Cresta’s AI-powered customer-experience platform, focusing on scalable backend services handling real-time streaming data and low-latency APIs.
Build and maintain scalable backend services and APIs in Go and Python that power Cresta’s AI-driven customer engagement platform, integrating real-time agent augmentation and conversation intelligence.
Build and maintain Cresta’s frontend platform, designing reusable components and architecture for AI-driven customer-experience products using React or Angular.
Design and implement AI-powered customer-experience solutions for enterprises, integrating Cresta’s platform with contact centers, CRMs, and cloud services while guiding customers from pre-sales to post-sales.
Build and maintain automated tests for Cresta’s AI-driven customer-experience platform using Playwright (TypeScript), ensuring reliability and scalability of new features.
Build and lead next-gen agentic AI systems at a Stanford-born AI company, designing scalable LLM workflows, robust evaluation frameworks, and real-time agent augmentation for enterprise contact centers.
Lead the architecture of scalable backend systems powering Cresta’s AI platform, enabling real-time AI agents and enterprise integrations for customer experience.
Build and scale a customer-data platform using Python/Go, Postgres, ClickHouse, and Elasticsearch to deliver real-time insights and drive AI-powered customer engagement.
Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation,…
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