Enterprise AI Agent Architect

Logoslabs; San Francisco (CA); Sur place; USD 180 000 - 240 000; Plein temps

Résumé du poste

NiCE is seeking an experienced AI/LLM systems engineer to architect and deliver production-ready conversational AI agents that fuel enterprise growth. You will own the full AI agent lifecycle, delivering live, scalable systems and collaborating with decision-makers at world-class companies.

You should have hands-on experience, a builder mindset, and familiarity with React, TypeScript, and Go. This role offers autonomy, end-to-end ownership, and exposure to cutting-edge AI models and deployment

Qualifications

• Hands-on experience building and operating end-to-end production systems at scale.
• Natural builder's mentality with high personal agency; you ship solutions.
• Startup founder or early engineer experience valued; you understand tradeoffs between speed, quality, ownership.
• Experience developing or operating AI/LLM-powered systems in production is a major plus.
• Knowledge of evaluation frameworks, orchestration tooling, RAG pipelines, and prompt engineering.
• Familiarity with React, TypeScript, and Go is an advantage.

Responsabilités

• Architect and deliver production-ready conversational AI agents that drive business growth.
• Build live, scalable agentic AI systems across sectors such as financial services, healthcare, and commerce.
• Own the AI agent lifecycle from pilot through launch and refinement.
• Collaborate with decision-makers at leading enterprises to tackle strategic challenges with agentic AI.
• Contribute to platform evolution, tooling, and the product roadmap with field learnings.

Connaissances

Production systems

Builder mindset

Customer-facing

Strategic communication

Ambiguity tolerance

Cross-functional

Outils

React

TypeScript

Go

RAG pipelines

Description du poste

NiCE is seeking an experienced AI/LLM systems engineer to architect and deliver production-ready conversational AI agents that fuel enterprise growth. You will own the full AI agent lifecycle, delivering live, scalable systems and collaborating with decision-makers at world-class companies.

You should have hands-on experience, a builder mindset, and familiarity with React, TypeScript, and Go. This role offers autonomy, end-to-end ownership, and exposure to cutting-edge AI models and deployment