AI Jobs

This role leads customer-facing implementation of AI virtual agents and CX automation workflows. The work spans discovery, agent configuration, guardrails, validation, integrations, launch, and post-launch optimization.

This early-career engineering role builds AI agents, workflows, internal AI systems, and production LLM-powered tooling for real business use cases. The work emphasizes practical tool integration, safe execution, retrieval, evaluation, and backend delivery.

This role designs, deploys, manages, monitors, and optimizes AI agents across enterprise workflows. It connects agent deployment with enterprise integrations, governance, compliance, feedback loops, and measurable business outcomes.

This role deploys AI agents that solve contact-center and customer conversation problems. It combines customer-facing technical work, real-world agent implementation, and production deployment for enterprise workflows.

This role owns AI agent infrastructure and automation for GTM teams. It focuses on multi-agent architectures, LLM integrations, backend services, third-party data connections, and production systems used by business teams.

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 implements, customizes, and optimizes AI phone-agent solutions for enterprise customers. It combines technical implementation, customer requirements translation, deployment, adoption, and measurable impact delivery.

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 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.