As a Software Engineer In Test II at Netomi AI, you will be responsible for testing AI-driven conversational products, ensuring quality assurance processes, and providing detailed feedback on AI models. You will implement test automation frameworks and evaluate enhancements for model accuracy while working closely with multiple teams to improve product quality.

The Data Engineering Manager will oversee the planning and execution of backend platforms, lead an analytics team, manage project requirements, and drive product vision while utilizing extensive data analysis and insight to improve customer experience and operational efficiency.

The SDET at Netomi AI will design and maintain automation frameworks, execute automated test scripts, and collaborate with the QA team to enhance testing strategies for web and mobile applications, focusing on quality assurance and integration in CI/CD pipelines.

The Implementation Consultant role involves scoping projects, participating in discovery calls, ensuring successful delivery of SaaS solutions, and providing technical and architectural guidance. The consultant will focus on customer engagement, project management, and the implementation of AI solutions while ensuring efficiency and optimizing customer performance.

The Technical Customer Success Manager at Netomi AI is responsible for onboarding clients, providing technical guidance, and ensure smooth integration of AI virtual agents into their support systems. They will also maintain client relationships, troubleshoot issues, and analyze AI performance while collaborating with internal teams to advocate for client needs and suggest improvements.

As a Lead UX Designer at Netomi, you will oversee the design direction for AI-centric features, conduct user research, and create wireframes and prototypes. Collaborating closely with Product, Engineering, and Customer Success teams, you'll improve the Netomi platform's functionality and user experience while mentoring other UX designers.

As a Software Engineer at Netomi AI, you'll develop automation scripts and tools, integrate APIs, optimize workflows, and ensure performance through rigorous testing. You'll collaborate with teams, create documentation, and mentor junior developers, contributing to innovative AI solutions for prominent brands.

As a Data Scientist I at Netomi AI, you will enhance AI models through prompt engineering, data analysis, and collaboration with cross-functional teams. Your role includes developing machine learning algorithms, conducting benchmarking, and optimizing model performance to align with business goals.

As a Data Scientist at Netomi AI, you'll design and implement machine learning algorithms for NLP/LLMs and deep learning models, analyze datasets, develop predictive models, and communicate insights to stakeholders. You'll also improve existing models and stay updated with advancements in the field.

As a Software Development Engineer in Test III at Netomi AI, you will design and implement automated test frameworks using Java, mentor junior team members, collaborate with cross-functional teams, and continuously improve testing processes to ensure the quality of software products.

The L2 Support Engineer at Netomi AI will serve as a Subject Matter Expert, managing customer-facing projects and resolving technical issues, particularly related to AI Studio and Zendesk. This role includes participating in the software development lifecycle, maintaining knowledge bases, and collaborating across teams to troubleshoot and improve processes.

The DevOps Engineer will collaborate with the software development team to deploy and manage systems, ensuring operational smoothness and continuous monitoring. Responsibilities include Kubernetes management, CI/CD pipeline development, scripting, and implementing service meshes. Experience with chaos engineering is a plus.

The role requires ownership of key UI modules, developing and optimizing front-end systems, translating designs into high-quality code, and collaborating with backend and data science teams. The engineer will focus on creating reusable components while working in an agile environment.