Jobs at Complexio

The Value Engineer connects Complexio's AI platform capabilities to quantified business outcomes, leading value discovery and business case development for enterprise clients, while tracking and proving promised value throughout customer engagements.

Design, build, and operate a scalable, secure deployment platform across on-prem and multi-cloud environments using Kubernetes. Support LLMs, graph and vector databases, and GPU-based ML workflows. Implement CI/CD, containerization, automation, monitoring, and documentation while collaborating on early-stage product development and custom deployment models.

The Client Director is responsible for managing strategic enterprise accounts, ensuring customer success, driving adoption, retention, and growth. This role involves acting as a technical translator between clients and the product team, maintaining executive engagement, and overseeing account health and revenue through renewals and upselling.

Lead the development of an enterprise AI knowledge assistant's frontend, focusing on user experience, real-time data interfaces, and product direction.

Manage the execution of customer AI projects, ensuring alignment between technical teams and customers. Oversee project lifecycle, deliverables, and stakeholder engagement, while implementing optimized frameworks and agile practices.

The Senior Software Engineer will develop software solutions, specialize in AI and automation, manage data handling, and support decision-making processes.

As a Senior Software Engineer, you'll enhance business processes through AI, focusing on software development, cloud platforms, and data handling.

The Senior Software Engineer will enhance business processes using AI, develop software solutions, and work with various technologies in a distributed environment.

Develop and maintain front-end and back-end AI-enabled web and desktop applications. Collaborate with cross-functional teams to design features, optimize scalability and security, troubleshoot defects, participate in code reviews, and implement AI assistant technology integrated with enterprise systems.