Moveworks

About the Company

Moveworks unifies every business system with natural language, giving employees one place to go to find information, automate tasks, and be more productive, increasing employee efficiency and satisfaction by streamlining everyday tasks.

Powered by a pioneering agentic AI infrastructure that leverages the world's most advanced LLMs and our proprietary MoveLM models, Moveworks understands employee requests, devises intelligent plans, and executes actions to complete tasks across application boundaries in over 100 languages.

More than 350 leading brands, such as Toyota, Spotify, GitHub, Marriott, Snowflake, Unity, Databricks, Broadcom, Hearst, and Palo Alto Networks, trust Moveworks to automate tasks and power a universal search interface across business applications.

Learn more at moveworks.com.

Listed Jobs

Company Name

Moveworks

Job Title

Senior Machine Learning Engineer II - LLM

Job Description

Job Title: Senior Machine Learning Engineer II – LLM Role Summary: Design, build, optimize, and scale end‑to‑end machine‑learning infrastructure for training, evaluation, and serving of large language models, delivering low‑latency, high‑reliability AI services. Expectations: Deliver production‑ready ML systems, collaborate across engineering, data, and product teams, and champion best practices in ML infrastructure and performance. Key Responsibilities: - Design and implement distributed training and inference pipelines for large language models. - Create reusable abstractions that automate steps across diverse ML workflows. - Engineer scalable micro‑services, ETL pipelines, and GPU inference services, including Kubernetes deployments. - Build metrics‑driven model evaluation and monitoring frameworks. - Collaborate with researchers, data engineers, and product stakeholders to roll out new features. - Conduct performance profiling, latency optimization, and resource tuning for serving stacks (e.g., vLLM, TensorRT‑LLM). - Write clean, modular code with comprehensive documentation and automated tests. Required Skills: - 2+ years industry experience in ML infrastructure, deep learning, or related fields. - Proficiency with PyTorch, Hugging Face, or LLM serving frameworks (vLLM, TensorRT‑LLM). - Hands‑on experience building and scaling end‑to‑end ML systems and micro‑services. - Strong Python programming; fluency in a systems language such as C++ or Go. - Familiarity with distributed training tools (e.g., DeepSpeed) and GPU inference scaling on Kubernetes. - Excellent written and verbal communication with cross‑functional collaboration. Required Education & Certifications: - Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, or an equivalent technical field.

Mountain view, United states

Hybrid

Senior

24-11-2025

Company Name

Moveworks

Job Title

Senior Engineering Manager, DevOps

Job Description

Job Title: Senior Engineering Manager – DevOps Role Summary: Lead and grow a DevOps engineering team of 5+ senior engineers to design, build, and scale a resilient AI cloud infrastructure and developer platform. Drive cloud architecture, automation, security, and performance across multi‑region, multi‑cloud environments, enabling rapid product delivery for a fast‑growing AI startup. Expectations: * 7+ years of DevOps engineering with 3+ years of team leadership. * 5+ senior engineers on team; manage hiring, mentorship, and career development. * Own end‑to‑end platform initiatives, delivering measurable operational improvements. * Collaborate closely with product, ML, search, data, and frontend teams to align infrastructure with product needs. * Execute in a high‑velocity, iterative startup environment, owning decisions and outcomes. Key Responsibilities: * Design, deploy, and operate scalable, secure, and cost‑optimized cloud infrastructure (AWS or equivalent). * Build and maintain CI/CD pipelines using IaC (Terraform, CloudFormation) and automation tools (Jenkins, Ansible, Helm). * Manage Kubernetes clusters and service mesh (Istio) deployments. * Implement security best practices: IAM, VPC, VPN, KMS, certificates, penetration testing, and vulnerability scanning. * Lead disaster recovery and data backup strategies across regions. * Partner with security teams to enhance the infrastructure security posture. * Drive measurable improvements in reliability, observability, and performance of foundational services. Required Skills: * Deep expertise in AWS services (EC2, ELB, S3, VPC, IAM, CloudFormation). * Strong networking knowledge (VPN, DNS, routing). * Kubernetes and Istio administration. * CI/CD tooling: Jenkins, Terraform, Ansible, Helm. * Security domain knowledge: encryption, KMS, penetration testing, vulnerability management. * Leadership: hiring, mentorship, fostering technical excellence, collaboration, continuous improvement. * Ownership mindset, problem‑solving at startup pace. Required Education & Certifications: * Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. * Relevant cloud certifications preferred (e.g., AWS Certified Solutions Architect – Professional, CKA).

Mountain view, United states

Hybrid

Senior

02-12-2025

Company Name

Moveworks

Job Title

Sr. SWE II, Fullstack

Job Description

Job Title: Sr. SWE II, Fullstack Role Summary: Senior Full‑Stack Engineer driving the design and implementation of AI‑powered agent builder features and scalable web infrastructure for an enterprise‑grade conversational UI platform. Works closely with product, ML, and engineering teams to deliver high‑quality, modular, and performance‑optimized web applications that scale globally. Exexpectations: Deliver reliable, maintainable code at enterprise scale; lead architectural decisions and coding standards; collaborate cross‑functionally to enhance user experience; iterate quickly in a startup‑like environment; mentor junior engineers; stay current with emerging web and AI technologies. Key Responsibilities: - Design, develop, and launch AI‑powered agent builder product features. - Architect and maintain web stack components: authentication, event tracking, application platform, and design system. - Build scalable, modular UI using React (or equivalent) and TypeScript, ensuring performance, accessibility, and maintainability. - Define and enforce best practices for code quality, modularity, and API integration between front‑end and back‑end services. - Collaborate with product managers, machine‑learning engineers, and back‑end teams to translate requirements into technical solutions. - Drive continuous improvement in test coverage, CI/CD pipelines, and deployment workflows. - Monitor and optimize application performance, troubleshoot issues, and provide post‑release support. Required Skills: - 5+ years professional experience building complex web applications. - Strong proficiency in ReactJS (or comparable modern UI framework) and TypeScript. - Experience with authentication flows, event tracking, and design system implementation. - Expertise in building modular, scalable front‑end architecture and API design. - Solid understanding of web performance, accessibility, and security best practices. - Excellent cross‑functional communication and collaboration. - Demonstrated product sense and ability to translate business needs into technical solutions. - Continuous learning mindset and adaptability to rapid change. Required Education & Certifications: - Bachelor’s degree in Computer Science or related field, or equivalent professional experience.

Mountain view, United states

Hybrid

Mid level

22-01-2026

Company Name

Moveworks

Job Title

Senior Software Engineer II, Agentic AI Systems

Job Description

Job Title: Senior Software Engineer II – Agentic AI Systems Role Summary: Lead design, development, and production of advanced AI agent systems within the Natural Language Understanding team. Drive the evolution of the AI Assistant platform across agent orchestration, sandboxed execution, latency optimization, memory, LLM self‑reflection, simulation, knowledge graphs, and multimodal I/O. Expectations: - Deliver production‑grade, scalable AI solutions at an enterprise level. - Own feature ownership from concept through deployment, meeting a fast‑paced startup cycle while maintaining high code quality. - Mentor peers, influence product roadmap, and collaborate cross‑functionally with ML, security, product, UX, and customer success teams. Key Responsibilities: - Architect and implement AI agent systems that are reliable, performant, and secure. - Productionize frontier AI algorithms and LLM leveraging capabilities from providers such as OpenAI. - Optimize system latency, resource usage, and agent memory to support scale. - Develop sandboxed file systems and code execution environments for safe agent operation. - Enhance agent self‑reflection and improvement mechanisms using LLMs. - Build and maintain enterprise knowledge graphs and multimodal I/O pipelines. - Conduct end‑to‑end ML lifecycle tasks: experiment design, data curation, model training, offline and online evaluation, and deployment. - Participate in code reviews, set engineering standards, and ensure clean, readable, extensible codebases. - Mentor junior engineers and foster a culture of continuous learning and excellence. Required Skills: - 4+ years of experience building scalable production systems. - Proficiency in Python, Go, and/or Java; comfortable with macOS development environment. - Strong communication skills and ability to articulate complex technical concepts. - Demonstrated ability to ship high‑quality code at high velocity. - Detail‑oriented, accountable, and self‑motivated with a high operational standard. - Curiosity for emerging AI technologies and maintaining cutting edge knowledge. Nice to Have: - Hands‑on experience with LLMs: prompt engineering, model selection, cognitive architecture, and latency‑correctness tradeoffs. - End‑to‑end ML lifecycle involvement (experiment setup, dataset curation, training, offline/online evaluation). - Knowledge of AI fairness, privacy, permission controls, safety, and security practices. Required Education & Certifications: - Bachelor’s degree or equivalent experience in Computer Science, Software Engineering, or related field. - Ongoing learning or relevant certifications in AI/ML are a plus.

San francisco, United states

On site

Senior

25-01-2026