Own quality for AI agent systems by building automated evaluation and CI/CD testing infrastructure, conducting hands-on exploratory and safety testing, and defining measurable release standards for high-stakes industrial use.
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Browse active jobs at Nexxa.
14 open roles at Nexxa
Own quality for AI agent systems by building automated evaluation and CI/CD infrastructure, testing agent behavior hands-on, and defining measurable release standards for complex, high-stakes industrial workflows.
Own product design for AI-powered industrial software, turning complex workflows and information into clear, polished experiences while exploring new interaction patterns for how people work alongside AI.
Own security and certification programs across cloud infrastructure and internal systems, strengthening compliance, identity, CI/CD, and operational controls as the company scales.
Own security and certification programs across cloud infrastructure and internal systems, hardening access, CI/CD, and automated controls while driving audit readiness and resolving production issues.
Own and evolve production infrastructure for AI and industrial systems, from Kubernetes and GPU workloads to CI/CD, observability, security, and reliability across cloud and edge environments.
Own and evolve production infrastructure for AI and industrial systems, from cloud and Kubernetes platforms to CI/CD, observability, security, and reliability practices across cloud and edge environments.
Design and operate the backend AI infrastructure powering production products, including model-serving pipelines, data systems, APIs, and scalable services for enterprise AI workloads.
Design, train, and deploy production computer vision systems for industrial applications, spanning classical and deep-learning methods, vision-language models, multimodal reasoning, and real-time edge and cloud inference.
Design and operate the backend AI infrastructure behind production products, including model-serving pipelines, RAG systems, data pipelines, APIs, and scalable services for enterprise environments.
Design, train, and deploy production computer vision systems for industrial applications, spanning detection, segmentation, OCR, multimodal reasoning, and real-time inference on edge devices and in the cloud.
Deliver customer-facing AI solutions end to end, embedding with enterprise teams to turn complex operational challenges into production-ready systems using generative AI, machine learning, and computer vision.
Own end-to-end delivery of customer-facing AI solutions, translating complex industrial workflows into production-ready systems using generative AI, machine learning, and computer vision.
Own the full commercial motion for industrial AI engagements, building pipeline from zero, creating executive urgency, shaping complex opportunities, and closing strategic enterprise deals in partnership with the CEO and founding team.
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