AI Jobs

This role works on AI-native vertical SaaS for construction logistics. It is relevant for builders who can deploy practical AI systems into customer operations and translate workflow needs into productized solutions.

This role designs tailored solutions for strategic customers using ElevenLabs voice and agent technology. It involves technical architecture, integrations, product features, and end-to-end ownership of high-impact customer challenges.

This role owns the lifecycle of AI products with banking clients, from deployment through production optimization and expansion. It translates regulated customer requirements into integrations between Titan's AI platform and bank systems.

This role builds AI growth workflows for internal use and customer-facing productization. It sits between product, growth, and customer success, turning live customer learnings into scalable AI workflow templates and product improvements.

This role leads customer deployments for Archie, an AI engineer for physical product domains. It connects AI reasoning capabilities with customer data, tools, design processes, and production implementation needs.

This role builds full-stack features across frontend, backend, and AI layers for an AI agent that runs and grows businesses. The work emphasizes shipping quickly with Next.js, TypeScript, LLMs, multi-agent systems, and AI-native UX.

This role builds the agentic layer of Raspberry's design platform. It includes agent architectures, orchestration, tool abstractions, multi-step creative workflows, and product interfaces that keep designers in control.

This role builds core systems that make AI agents usable in production, including runtimes, orchestration, reliability, tracing, debugging, evaluation, and coherent integrations with APIs and external data.

This role leads software integration and deployment for NODA's autonomous orchestration platform. The work focuses on adapters, interfaces, integrations, deployment tooling, and customer-facing implementation in constrained operational environments.

This role sits between customer discovery, project management, and deep technical execution for an AI-powered infrastructure inspection platform. It helps customers deploy, integrate, and operationalize AI workflows in existing systems.