Moveworks

Senior Software Engineer on the Agentic AI Systems team, focused on building and evolving capable AI agent systems. The role involves implementing frontier AI algorithms, productionizing them at scale, and enhancing products with LLMs and AI agents. Key areas include agent orchestration, execution environments, optimization, memory, self-reflection, knowledge graphs, and multimodal I/O.

Senior Software Engineer on the Agentic AI Systems team, focused on building and evolving capable AI agent systems. The role involves implementing frontier AI algorithms, productionizing them at scale, and enhancing products with LLMs and AI agents. Key areas include agent orchestration, execution environments, optimization, memory, self-reflection, knowledge graphs, and multimodal I/O.

Engineering Manager for Machine Learning Infrastructure team, responsible for leading the development, optimization, and scaling of the end-to-end systems for the entire ML/LLM lifecycle, including distributed training, inference, model evaluation, and LLM latency optimization. The role focuses on building foundational infrastructure for agentic AI experiences and supporting hundreds of production models.

Senior Machine Learning Engineer II focused on NLU and Agentic AI at Moveworks. The role involves applying software engineering and ML to create value for customers by developing conversational agents, multimodal agents, and improving generative AI capabilities. Responsibilities include fine-tuning LLMs for tool use, agent evaluation, responsible AI, designing new algorithms, and productionizing solutions. Requires Python/Golang, ML fundamentals, and LLM knowledge.

Senior Machine Learning Engineer II focused on NLU and Agentic AI at Moveworks. The role involves applying software engineering and ML to create value for customers by developing conversational agents, multimodal agents, and improving generative AI capabilities. Responsibilities include fine-tuning LLMs for tool use, agent evaluation, responsible AI, designing new algorithms, and productionizing solutions. Requires Python/Golang, ML fundamentals, and LLM knowledge.

Software Engineer role focused on building and evolving AI agent systems, including agent orchestration, code execution, latency optimization, and LLM self-reflection, for the Moveworks AI Assistant platform. The role involves implementing frontier AI algorithms, productionizing them at scale, and enhancing products using the latest advances in ML, LLMs, and AI agents.

Moveworks is seeking a Software Engineer for their Agentic AI Systems team, focusing on building and evolving AI agent systems. The role involves implementing frontier AI algorithms, productionizing them at scale, and enhancing products using LLMs and AI agents. Responsibilities include agent orchestration, sandboxed execution environments, latency optimization, and working with enterprise knowledge graphs and multimodal I/O.

Staff Software Engineer on the Agent Lab team focused on advancing AI agents for enterprise use, leading the evolution of the Moveworks AI Assistant platform in areas like agent orchestration, execution environments, memory, and multimodal I/O. The role involves defining and delivering distributed AI systems, setting technical direction, and collaborating with ML engineers to build world-class AI systems.

Staff Software Engineer on the Agent Lab team focused on building and evolving capable AI agent systems for the Moveworks AI Assistant platform. This role involves leading engineering challenges in areas like agent orchestration, execution environments, latency optimization, agent memory, LLM self-reflection, knowledge graphs, and multimodal I/O, with a focus on productionizing these systems at scale.

Senior Software Engineer to scale and optimize a Generative AI product for enterprise users, focusing on the conversation engine, API abstractions, and dialog optimization. The role involves building product infrastructure, designing scalable APIs, optimizing the dialog engine for low footprint and latency, championing best practices, and providing performance insights through logging and tracing.

Moveworks is seeking a Senior Software Engineer II to scale and optimize their Generative AI product, focusing on the Conversation Engine and Agentic AI Platform. The role involves building scalable API abstractions, optimizing the dialog engine for enterprise use cases, and enhancing product infrastructure with a focus on engineering quality and robustness. The engineer will also implement logging, tracing, and metrics for performance monitoring and collaborate with ML and product teams.

Senior/Staff MLE role on the GenAI Search Platform team, focusing on improving conversational search systems using ML and generative AI. The role involves architecting abstractions, developing algorithm frameworks for conversational search applications, driving LLM-enabled generative AI features, and developing evaluation metrics. It requires technical leadership, coaching, and collaboration with product, ranking, and infrastructure teams. Experience in information retrieval, search ranking, recommendation systems, or QA systems is required, with a background in NLP or ML.

Principal Product Manager for Search Platform at Moveworks, an enterprise AI company. The role involves leading the development of search platform and infrastructure for AI-powered products, focusing on scalability, performance, and advanced capabilities. Requires strong technical product management experience, familiarity with ML concepts (NLU, semantic search, conversational AI, agentic workflows, speech), and ability to translate complex problems into product specs. The role emphasizes building foundational capabilities, staying ahead of AI trends, and shipping enterprise-grade products.

Moveworks is seeking an MLE Manager for GAI Search Relevance to lead a team focused on improving AI-powered enterprise search applications. The role involves measuring and enhancing ranking, relevance, RAG-based objectives (summarization, groundedness, citation), and end-to-end ML model development, including data synthesis, feature engineering, and evaluation. The team is accountable for search quality and ranking across enterprise search products, scaling to new customers and data types.

Senior Software Engineer II on the Agentic AI Systems team focused on building and evolving capable AI agent systems, productionizing frontier AI algorithms, and enhancing products with LLMs and AI agents. The role involves agent orchestration, execution environments, memory, self-reflection, knowledge graphs, and multimodal I/O, aiming to advance the frontier of work entrusted to agents.

Senior Software Engineer II on the Agentic AI Systems team focused on building and evolving capable AI agent systems, productionizing frontier AI algorithms, and enhancing products with LLMs and AI agents. The role involves agent orchestration, execution environments, memory, self-reflection, knowledge graphs, and multimodal I/O, aiming to advance the frontier of work entrusted to agents.

This role focuses on building and optimizing scalable machine learning infrastructure for training, evaluation, and deployment of large language models (LLMs). It involves creating abstractions for ML workflows, optimizing LLM latency, and ensuring the scalability of ML services, ultimately impacting the customer experience with AI.

Tech Lead for an Agentic AI Platform focused on scaling and optimizing a Generative AI product for enterprise users. The role involves building product infrastructure, designing scalable API abstractions for a conversation platform, optimizing the dialog engine, and championing best practices for engineering quality and robustness. It also requires providing insights into product performance through logging, tracing, and metrics.

Moveworks is seeking a Senior Software Engineer II to scale and optimize their Generative AI product, focusing on the Conversation Engine and Agentic AI Platform. The role involves building scalable API abstractions, optimizing the dialog engine for enterprise use cases, and enhancing product infrastructure with a focus on engineering quality and robustness. The engineer will also implement logging, tracing, and metrics for performance monitoring and collaborate with ML and product teams.

Senior Fullstack Engineer to build the next generation of the Moveworks Agentic Assistant ecosystem, focusing on AI-powered agent builder experiences and robust UI frameworks for an enterprise-focused GAI ecosystem.

Moveworks is seeking a Sr. MLE for their GAI Search Relevance team to improve a search-based question answering platform. The role involves crafting and optimizing ranking features, developing algorithm frameworks, designing experimentation platforms, and developing metrics to evaluate ranking performance, leveraging information retrieval and natural language understanding techniques.

Moveworks is seeking a Senior Engineering Manager to lead their core infrastructure team. This role will be responsible for designing, building, and operating reliable and scalable foundational services and frameworks that support the company's AI platform and enable rapid feature development. The manager will work closely with ML, search, product, and data teams, and will be involved in architecting key infrastructure components, optimizing performance, and mentoring engineers. Experience with search and ML infrastructure is a plus.

Staff Software Engineer focused on building and improving the core infrastructure for Moveworks' Agentic AI platform, which utilizes LLMs to automate tasks and streamline workflows. The role involves developing services for machine learning, frontend, and platform teams, with a focus on performance, scalability, and observability of cloud infrastructure, including components like distributed configuration management, rate limiting, feature flags, and traffic capture. Experience with distributed systems, cloud infrastructure, and technologies like Kafka, Elasticsearch, Istio, and Vector DB is required.

Senior Software Engineer focused on building and operating scalable data processing infrastructure and foundational data models to support ML operations (training, serving, evaluation). The role involves working closely with ML/data science teams, building data governance, and developing an orchestration platform.