
201 - 500 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 Private Equity Round on 2022-01
Artificial Intelligence • Enterprise • SaaS
OneReach. ai is a technology company that builds and orchestrates advanced multimodal AI agents, referred to as Intelligent Digital Workers (IDWs). These agents are designed to automate complex workflows and enhance both employee and customer experiences by integrating language models and other resources across various channels and languages. Their platform, GSX, supports hyperautomation in areas such as call centers, HR processes, and more, helping organizations achieve seamless digital transformations. OneReach. ai also offers tools like customizable dashboards, real-time data analytics, and interactive demos for businesses to experiment and innovate with AI solutions tailored to their specific needs.
🕒 March 12
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201 - 500 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 Private Equity Round on 2022-01
Artificial Intelligence • Enterprise • SaaS
OneReach. ai is a technology company that builds and orchestrates advanced multimodal AI agents, referred to as Intelligent Digital Workers (IDWs). These agents are designed to automate complex workflows and enhance both employee and customer experiences by integrating language models and other resources across various channels and languages. Their platform, GSX, supports hyperautomation in areas such as call centers, HR processes, and more, helping organizations achieve seamless digital transformations. OneReach. ai also offers tools like customizable dashboards, real-time data analytics, and interactive demos for businesses to experiment and innovate with AI solutions tailored to their specific needs.
• Design, develop, and maintain full-stack features across a distributed AI-powered platform, ensuring scalability, reliability, and long-term maintainability. • Own backend services built with TypeScript and Node.js frameworks, including API design, data modeling, asynchronous processing, and integration with external systems. • Build and evolve frontend applications using modern Vue.js patterns, ensuring clean architecture, performance optimization, and a high-quality user experience. • Contribute to infrastructure-as-code workflows, collaborating on cloud provisioning, environment configuration, and deployment pipelines. • Develop and maintain comprehensive automated test coverage, including unit, integration, and end-to-end testing, with a strong emphasis on validating complex AI-driven workflows and multi-step agent interactions. • Design, implement, and optimize Retrieval-Augmented Generation pipelines, including document ingestion, embedding strategies, vector search, and evaluation of response quality. • Work on production-grade AI agent architectures: orchestrating multi-step reasoning flows, integrating LLMs with external systems, managing tool usage logic, and ensuring predictable, controllable behavior. • Continuously evaluate and improve AI performance by analyzing outputs, refining prompts, tuning orchestration logic, and implementing automated evaluation strategies. • Collaborate closely with product, design, and leadership to translate ambiguous requirements into structured technical solutions. • Participate in architectural discussions and contribute to evolving platform standards, coding conventions, and engineering best practices. • Take ownership of production incidents when needed, proactively improving system reliability, performance, and developer experience. • Mentor other engineers where appropriate and contribute to a culture of high technical standards, clarity of communication, and pragmatic decision-making.
• Strong proficiency in TypeScript • Hands-on experience with NestJS for backend development • Solid knowledge of TypeORM and PostgreSQL • Experience working with SQS (or similar message queue systems) • Practical experience with Vue.js (both Vue 2 and Vue 3) • Strong understanding of REST API design principles and integration with external services • Basic knowledge of Terraform • Deep understanding of end-to-end (E2E) testing frameworks and best practices • Practical experience designing and maintaining automated E2E test suites, including testing AI-powered and agent-based applications • Experience developing and maintaining Retrieval-Augmented Generation (RAG) systems • Strong understanding of agentic AI architectures and the ability to operate, evaluate, and improve AI agent capabilities in production environments • Experience with AWS and serverless infrastructure (nice-to-have) • Familiarity with frontend testing frameworks (nice-to-have) • Knowledge of microservices architecture (nice-to-have) • Experience evaluating LLM performance, prompt strategies, and agent orchestration patterns (nice-to-have) • Familiarity with observability and evaluation tooling for AI systems (e.g., tracing, prompt/version tracking, automated evaluation pipelines) (nice-to-have)
• Join an award-winning and innovative product company • Work with smart, passionate teammates who genuinely love what they do • Get hands-on exposure to cutting-edge topics in UX, AI, and technology • Flexible remote work environment • 24 paid days off per year
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