Jobs at kAIgentic

As Principal Engineer, AI Research, you will lead AI systems development focusing on reliability and governance in enterprise environments, translating AI strategy into production systems, solving complex AI reliability problems, and mentoring teams.

As a Principal Engineer for AI Infrastructure, you will own the architecture and execution of core systems. Your role includes making architectural decisions, designing stateful AI workflows, solving platform issues, and leading teams while ensuring compliance and collaboration with various departments.

As a Senior Software Engineer, you will design and implement workflow systems, build orchestration layers, and mentor junior engineers while ensuring reliable and observable AI workflows.

The Principal, Forward Deployed Engineering will lead technical customer engagement, manage enterprise deployments, define use cases, and drive adoption of the kAIgentic platform across complex environments.

As a Principal Product Manager, you will convert strategic signals into product direction, manage execution discipline, and enhance customer value through AI-powered enterprise solutions.

Drive the infrastructure strategy for AI platform, leading a DevOps team for critical systems in regulated environments, focusing on cloud, Kubernetes, observability, and security operations.

Build and maintain durable, observable orchestration for long-running AI workflows. Design Temporal-based workflow systems, LLM orchestration and self-correction, observability pipelines, interrupt-and-resume human-in-the-loop patterns, and own reliability under production load.