Search the 13 jobs at Netomi

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.

The Product Manager will engage with enterprise clients to understand their needs, align with product strategy, lead the development of innovative features using AI and LLM technologies, manage projects from conception to delivery, and conduct market analysis to enhance product innovation.

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 Senior Data Scientist at Netomi, you will develop and deploy machine learning models, focusing on NLP and deep learning to solve complex business challenges. You will analyze large datasets, collaborate with product and engineering teams, and provide mentorship to junior members while staying updated on advancements in the field.

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 Software Engineer in Test II at Netomi AI will be responsible for testing AI-based conversational products, ensuring quality assurance standards are met, and providing feedback for product improvements. The role requires experience in manual and automation testing, API testing, and collaboration across teams to enhance model accuracy.

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.

As a DevOps Engineer at Netomi AI, you will manage and deploy Kubernetes clusters, build and enhance CI/CD pipelines, develop Helm templates, implement service meshes, and automate processes using scripting languages. You'll collaborate with the development team to ensure smooth system operation and continuous monitoring to address issues.

As a Customer Success Manager at Netomi AI, you will work closely with strategic customers to drive product adoption and satisfaction. Your role includes acting as a trusted advisor, conducting product demonstrations, and collaborating across internal teams to meet customer needs while maintaining accurate records of client interactions.

The Software Engineer at Netomi will own key UI modules, manage front-end build and test systems, ensure technical feasibility of designs, implement UI/UX designs, and work collaboratively with backend, data science, and DevOps teams for API implementation. The role requires optimizing UI performance and scalability.

As a Data Engineering Manager at Netomi AI, you will plan and execute SOA backend platforms, lead teams in software development best practices, and drive product vision. You will analyze complex data trends, manage product operations performance, and collaborate with multidisciplinary teams to influence technical roadmaps and development policies.

The Implementation Consultant at Netomi AI will configure and implement SaaS solutions for clients, collaborating closely with various teams to ensure successful project delivery. Responsibilities include scoping projects, conducting discovery calls, leading technical activities, performing complex configurations, and providing data-driven insights to enhance customer experience. The role demands strong communication skills and proficiency in client management, with a focus on driving efficiency.