Moveworks

Moveworks is seeking a Senior Staff Software Engineer to join our Agentic AI Harness & Quality team. This role is for experienced software engineers looking to apply their skills at the forefront of AI agents. You will play a crucial part in advancing the capabilities and reliability of AI agents for enterprise use at scale. You'll contribute to the evolution of our AI Assistant platform, focusing on areas like agent orchestration, secure code execution, performance optimization, agent memory, LLM self-reflection, and knowledge graphs. You will leverage modern enterprise AI tools, including leading LLMs, and work within a team that prioritizes rapid development, scalable infrastructure, and pushing the boundaries of AI value for customers.

The Developer Experience team at Moveworks builds platforms that empower developers working on the Moveworks Agentic AI platform. This role is central to owning the technical foundation for the team's output, focusing on designing and building complex platform challenges related to generality, scalability, and extensibility, all while prioritizing the developer experience. The ideal candidate thinks in systems, ships impactful solutions, and effectively collaborates with and influences others.

$191k - $334k

Join our Conversation Engine team to scale and optimize a cutting-edge Generative AI product that provides instant assistance to enterprise users. You will work at the core of Moveworks' Generative AI product, focusing on scaling and optimizing it for the enterprise solution space. We encourage innovative ideas to solve unsolved problems, collaborating closely with machine learning experts and cross-functional teams to rapidly iterate on new ideas and leverage user behavior data. Your challenge will be to scale and optimize our conversation engine to support hundreds of millions of users across multiple chat channels and use cases, enhancing our end-to-end product infrastructure with engineering quality and robustness.

$176k - $308k

Join us as we build the next generation of enterprise search infrastructure powering AI agents. Our mission is to evolve from traditional product-specific search systems into a composable, agent-native platform that enables agents and applications to discover, retrieve, reason over, and recommend information across heterogeneous enterprise data sources. As a Senior Staff Engineer, you will be the technical owner for foundational search infrastructure that serves as the backbone of our agentic platform. You will drive the architecture, scalability, and evolution of core indexing and retrieval systems while partnering closely with Search Ranking, ML, Platform, and AI teams to deliver production-grade search capabilities that power agent experiences across the company.

$191k - $334k

Moveworks is seeking an Agentic AI Harness Architect to define the technical vision for our agentic AI harness. This role involves planning, selecting tools, managing context, and implementing memory, critique, reflection, adaptation, and recovery mechanisms for AI agents. You will invent and prototype algorithms to enable agents to complete complex tasks with minimal supervision and high reliability. The position requires designing model-agnostic abstractions to integrate foundation models, specialized agents, enterprise tools, and workflows, while developing approaches for agent memory and learning that prioritize enterprise security and privacy. You will also create rigorous benchmarks and evaluation methods for agent performance and explore advanced methods like iterative planning, self-critique, and multi-agent coordination. The role includes building prototypes, identifying promising ideas, and collaborating with platform and product teams to bring them to production, while remaining hands-on with code and experiments.

$201k - $352k

This customer-facing role involves owning the end-to-end technical relationship with enterprise clients, translating complex business challenges into high-impact AI solutions built on the Moveworks Platform. You will serve as the primary technical point of contact throughout the full implementation lifecycle, from solution design through launch, and will be comfortable collaborating with both customer IT teams and internal engineering and product teams. This is not a back-office role; you will be in front of customers regularly and are expected to travel up to 25% of the time.

$143k - $243k

The Conversation Engine team is seeking a Staff Software Engineer to scale and optimize a cutting-edge Generative AI product that provides instant assistance to enterprise users. This role offers a unique opportunity to work at the core of Moveworks' Generative AI product, focusing on its scalability and optimization for the enterprise solution space. You will be encouraged to bring innovative ideas to solve complex problems, collaborating closely with machine learning experts and cross-functional teams. The challenge involves scaling the conversation engine to support hundreds of millions of users across multiple chat channels and use cases, while enhancing the end-to-end product infrastructure with high engineering quality and robustness.

$176k - $308k

We are seeking a Staff Engineer to build and maintain the production systems that power our AI-enabled product capabilities. This role bridges ML systems, platform engineering, and site reliability engineering, focusing on moving machine-learning models and agentic workflows from prototypes to secure, observable, and continuously deployable production systems. You will partner with various teams to create a streamlined path from experimentation to production and ensure the ongoing performance and evolution of these systems.

Moveworks is building the runtime infrastructure that powers its AI agents, which deliver real-time responses to millions of enterprise users. This role focuses on distributed systems engineering at the core of agentic AI. The AI agents can plan, execute multi-step workflows, call tools, and interact with users while maintaining correctness, observability, and low latency. The systems responsible for these capabilities are what you will build and own.

Moveworks is building the runtime infrastructure that powers its AI agents, enabling them to orchestrate, execute, and deliver responses to millions of enterprise users in real time. This role focuses on distributed systems engineering at the forefront of agentic AI. The AI agents are designed to plan, execute multi-step workflows, call tools, and interact with users, all while ensuring correctness, observability, and low latency. The successful candidate will build and own the systems that make these advanced agent capabilities possible.

Moveworks is building the runtime infrastructure that powers its AI agents, which are responsible for orchestrating, executing, and delivering responses to millions of enterprise users in real time. This role focuses on distributed systems engineering at the forefront of agentic AI. The AI agents are designed to plan and execute multi-step workflows, interact with tools, and manage human input, all while ensuring correctness, observability, and low latency. The systems responsible for these capabilities are what you will build and own.

Moveworks is seeking a Machine Learning Engineer to develop cutting-edge ML infrastructure for building and serving LLMs. This role is pivotal in constructing, optimizing, and scaling end-to-end machine learning systems, encompassing distributed training and inference pipelines for large language models, model evaluation and monitoring frameworks, and LLM latency optimization. The frameworks developed will serve as a robust foundation for hundreds of ML and NLP models in production, impacting millions of enterprise employees. You will address challenges in service scalability and core algorithm optimization, working closely with machine learning, data infrastructure, and core skill teams. Your contributions will significantly influence customer AI experiences and the long-term scalability of our core AI product.

We are seeking a Senior Software Engineer to join our team and build the runtime infrastructure that powers Moveworks' AI agents. These agents are responsible for orchestrating, executing, and delivering responses to millions of enterprise users in real time. This role focuses on distributed systems engineering at the forefront of agentic AI, enabling our AI agents to plan, execute multi-step workflows, call tools, and interact with users while maintaining correctness, observability, and low latency. You will build and own the core systems that make these advanced agent capabilities possible.

You will own the end-to-end technical relationship with enterprise customers, translating complex business challenges into high-impact AI solutions built on the Moveworks Platform. This is a customer-facing, field-based role where you will be the primary technical point of contact throughout the full implementation lifecycle, from solution design through launch. You are equally comfortable whiteboarding with a customer's IT team and collaborating with internal engineering and product teams. This role requires regular customer interaction and up to 25% travel.

$191k - $334k

Moveworks' AI agents are designed to act, plan, and modify enterprise systems, impacting millions of employees. This role focuses on building the "judgement layer" of our agent evaluation platform. You will develop the rubrics, judges, and calibration methods necessary to accurately score agent actions across multi-step trajectories. The goal is to create a reliable signal that not only measures performance but also serves as a reward mechanism for training agents. This is an applied ML role tackling the open research problem of LLMs judging LLMs, specifically applied to agents interacting with real-world enterprise environments.

Moveworks' AI agents are designed to act, plan, and modify enterprise systems, impacting millions of employees. This role focuses on the critical challenge of accurately measuring agent performance across multi-step interactions. You will build the 'judgement layer' of our agent evaluation platform, developing rubrics, judges, and methodologies to create meaningful scores. These scores will not only assess performance but also serve as a reward signal for training agents, enabling them to improve and avoid failures. This is an applied ML role tackling the open research problem of LLMs judging LLMs, specifically within the context of agents interacting with real enterprise environments.

Moveworks' AI agents are designed to act, plan, and modify enterprise systems, impacting millions of employees. This role focuses on building the crucial 'judgement layer' for our agent evaluation platform. You will develop the rubrics, judges, and calibration methods necessary to accurately score agent actions across complex, multi-step interactions. The goal is to create a signal precise enough to train agents for improved performance, turning evaluation into a training mechanism. This position is centered on applied ML, tackling the open research problem of LLMs evaluating LLMs, specifically within the context of agents performing real-world actions in enterprise environments.

Moveworks' AI agents are designed to act, plan, call tools, and modify enterprise systems, impacting millions of employees. The core challenge for this team is developing a precise measurement system to evaluate agent performance across multi-step interactions. This role will build the "judgement layer" of the agent evaluation platform, focusing on rubrics, judges, and calibration against human labels to create a meaningful scoring methodology. The developed signal will not only score agent actions but also serve as a reward signal for training, enabling agents to improve their performance. This is an applied ML role focused on the novel problem of LLMs evaluating LLMs, particularly in the context of agents interacting with real-world enterprise systems.

Moveworks' AI agents are designed to act, plan, and modify enterprise systems, impacting millions of employees. This role focuses on building the core measurement and evaluation platform for these agents. You will develop the 'judgement layer,' creating rubrics, judges, and methodologies to accurately score agent performance across multi-step interactions. This score will not only provide insights into agent failures but also serve as a crucial reward signal for training and improving agent behavior. This is an applied machine learning role tackling the complex, open research problem of LLMs evaluating LLMs, specifically within the context of agents performing real-world actions in enterprise environments.