Jobs at Netomi

The Executive Assistant will support the Executive Leadership Team by managing calendars, coordinating meetings, handling travel logistics, and ensuring smooth day-to-day operations. This role requires strong organizational skills, discretion, and the ability to adapt to changing priorities.

The DevOps Engineer will manage Kubernetes clusters, develop CI/CD pipelines, optimize Helm charts, implement service meshes, write automation scripts, and ensure system reliability through chaos engineering principles.

The Principal Account Strategist drives long-term success in complex accounts, securing stakeholder commitment, executing AI deployment roadmaps, and ensuring financial health and growth through strategic engagement.

The SDET will test AI-based products, improve quality assurance processes, and provide feedback to enhance AI models. Responsibilities include manual and automation testing and API testing.

Seeking a Senior Software Engineer to manage front-end UI modules, ensure technical feasibility of designs, and collaborate with backend teams. Requires strong JavaScript, Vue.js or React expertise, plus 3-6 years experience in UI development for B2B SaaS apps.

The Software Engineer will plan, design, and execute SOA backend platforms, focusing on Java development and DevOps on AWS. Responsibilities include defect tracking, maintaining performance, and collaborating within a multi-disciplinary team.

The SDET will ensure the quality of AI-based products through testing, monitoring processes, providing data quality awareness, and delivering feedback for model enhancements.

Lead end-to-end delivery of enterprise Agentic AI solutions: run discovery workshops, design AI agent workflows and integrations, coordinate cross-functional teams, ensure QA and production readiness, and drive continuous optimization and governance to meet business KPIs.

Develop and maintain full-stack features using Node.js and React/Vue.js, collaborate on product features, debug issues, and contribute to cloud workflows.

The SDET II role involves testing AI-based products, ensuring quality standards, and collaborating with teams to improve models. Candidates should have experience in manual and automation testing, API testing, and a Bachelor's degree in a relevant field.

Design, optimize, test, and benchmark prompts for enterprise AI agents. Collaborate with Customer Success and Data Science, document processes, automate prompt testing, and research new NLP and prompting approaches to improve LLM performance for customer experience use cases.

As an L2 Support Engineer, you will manage technical support tasks, oversee troubleshooting incidents, and coordinate customer inquiries while mentoring junior staff.

The Senior Product Manager will oversee the product strategy for Autonomous Agents, defining functionality, driving cross-functional alignment, and ensuring effective deployment and monitoring of AI agents across channels.

The Technical Customer Success Manager is responsible for client onboarding, ongoing support, troubleshooting, relationship management, and product training, ensuring clients optimize their use of AI virtual agents.

The role involves research, solution design, and developing production-grade AI systems, focusing on NLP and large language models. Responsibilities include prototyping LLM applications, conducting experiments, and optimizing model performance.

The SDE I - Frontend role involves owning UI modules, building reusable components, collaborating with engineers, and ensuring optimal UI performance.

Design and develop scalable software systems for data processing and machine learning integration, working closely with data scientists and engineering teams.

Build and scale agentic AI workflows on a no-code platform by designing LLM prompts, integrating REST APIs/webhooks, implementing tests, and applying resilient system design patterns to deliver production-grade autonomous agent solutions.

Build and scale autonomous, LLM-driven agent workflows using Netomi's no-code platform. Design high-quality prompts, integrate external/internal APIs, implement unit tests, and apply resilient engineering patterns for reliable, cost-efficient agentic automation. Collaborate with Product, QA, and Delivery to ship production-grade solutions.

Design, architect, and deploy large-scale agentic AI solutions for enterprise customers. Lead discovery, build solution blueprints, define integrations and architectures, support implementation and QA, act as product owner, train customers, and drive reusable playbooks and continuous improvement.