The Opportunity: Architecting the Future of UI Development

This is not a typical engineering role. You are a product-minded builder, a systems thinker, and a passionate advocate for quality and consistency. You understand that a mature design system is the single most important lever to pull to unlock massive gains in productivity, improve user experience, and create a predictable, machine-readable environment where AI tools like Claude Code and Cursor can thrive.

You will have the autonomy and resources to own our design system from the ground up. Your work will directly empower our product teams to build higher-quality features faster and will be the critical enabler for our strategy of leveraging AI to instantly translate design specs into pixel-perfect, production-ready code.

What You'll Do

• Architect & Build: Design, build, and maintain a robust, scalable, and accessible library of reusable front-end components in React/TypeScript.
• Establish a "Token Economy": Implement and govern a comprehensive system of design tokens (colors, typography, spacing, etc.) that ensures consistency across all platforms (web, mobile).
• Full-Stack Integration: Develop backend APIs, services, and tooling necessary to support the design system, such as asset pipelines, documentation servers, and versioning management.
• Govern & Evangelize: Create crystal-clear documentation, contribution guidelines, and decision-making frameworks. Act as the primary advocate for the design system, driving adoption across all engineering, design, and product teams.
• Optimize for AI Consumption: Structure component APIs, props, and documentation with the explicit goal of making them easily understandable and usable by AI code generation tools. You will define the "language" our AI assistants speak.
• Tooling & Automation: Own the entire lifecycle of the design system's infrastructure, including our Storybook instance, automated testing, and CI/CD pipelines for publishing and versioning components.
• Collaborate & Lead: Partner closely with senior leadership in Product Design and Engineering to define the roadmap for the design system and ensure it aligns with the company's strategic goals. Mentor other engineers on best practices for component design and system thinking.

Who You Are

• A Seasoned Engineer: You have 4+ years of professional software development experience, with a strong focus on front-end architecture and full-stack capabilities.
• A Design System Expert: You have proven, hands-on experience leading the development of a design system from concept to production at scale. You can point to a library of components you have built and are proud of.
• Technically Fluent: You possess expert-level knowledge of modern web technologies, including React, TypeScript, CSS-in-JS (or similar), Storybook, and Figma. You are also proficient with backend technologies like Node.js, GraphQL, or Python.
• Passionate About Quality: You have an incredible eye for detail and a deep commitment to accessibility (WCAG), performance, and writing clean, maintainable code.
• A Systems Thinker: You excel at abstracting complexity into simple, elegant, and reusable patterns. You think in terms of systems, not one-off solutions.
• An Excellent Communicator: You can articulate complex technical concepts to both technical and non-technical audiences. You build consensus and inspire others to adopt new standards.
• Forward-Thinking: You are genuinely excited about the potential of AI in software development and are eager to build the foundational systems that will unlock its power.

Senior Software Engineer II, Fullstack

As a Senior Fullstack Engineer on the web team, you will play a lead role in creating the next generation of the Moveworks Agentic Assistant ecosystem. The ability to leverage ML and Generative AI intelligence for the fullstack makes it innovative and fun! Join us, and you'll find yourself in a unique playground, working on web applications that directly impact every Moveworks customer. In other words, we needed you here yesterday!

We're crafting an enterprise-focused GAI ecosystem. You'll shape diverse functionalities, cater to various user personas, and forge a solution that meets enterprise needs. Your role spans designing AI powered agent builder experiences and creating robust UI frameworks with scalable, reliable building blocks.

What you will do:

• Design and implement AI powered agent builder product features using cutting-edge technical approaches to deliver business value. 
• Expand the product's reach to more customers, domains, and global markets, ensuring high quality engineering implementation. 
• Architect and build out Moveworks web technology stacks such as authentication, event tracking, application platform, and design systems.
• Promote best practices and standards to build modular and scalable web apps and APIs between backend services.
• Work closely with the product, ML and engineering teams to augment user experience, find creative solutions to fill in gaps in technology, and increase customer adoption.
• Work at a startup pace in a small company with a high degree of ownership 

What you bring to the table:

• BS or higher degree in computer science or a related field, or equivalent relevant experience 
• 5+ years of professional development experience in building complex web applications
• Experience with major modern Web UI framework (e.g. ReactJS) and experience building UI at scale
• Strong product sense and a passion for building scalable web or conversational UI products
• Excellent cross-functional collaboration skills
• A constant thirst for learning and a willingness to get out of your comfort zone

Nice to Have

• Experience working with AI Agent products 

What You Will Do

We are looking for senior/staff engineers to join our GenAI Search Platform team to improve our search-based question answering systems, utilizing both traditional machine learning and cutting-edge generative AI technologies. At Moveworks, we build conversational search systems to provide instant answers to enterprise users’ questions. We deliver business intelligence support by combining modern information retrieval with the latest advancement in natural language understanding, including LLMs (large language models). By accurately retrieving, matching, ranking, and summarizing text snippets grounded in heterogeneous knowledge sources, our search products are reshaping the enterprise search experience for millions of our customers’ employees.

For the Search Platform, we are looking for passionate leaders who can provide technical direction and thoughtful coaching to our team of search and machine-learning engineers. The search platform team works closely with the ranking, product, design, infrastructure and data science teams to drive our agentic search products to the next generation of capabilities focusing on performance and enterprise readiness.

We’re building a team that thrives on moving fast, solving challenging product and engineering problems, and providing value to our customers. To be successful, you'll be partnering with product, user experience, customer success and other engineering teams to identify, define and build elegant solutions. 

• Architect powerful, elegant abstractions to enable ranking and product teams to contribute safely and easily to the codebase.
• Develop algorithm frameworks to support diverse conversational search applications such as multi-turn multi-hop question answering systems.
• Drive the development of our search platform with new LLM-enabled generative AI features in a fast-paced environment. This platform would enable product teams to build new applications and features quickly, ship new prototypes to customers at scale, evaluate and iterate on ranking improvements in a systematic manner, and enforce guarantees on quality, security, privacy and scalability.
• Develop systematic evaluation metrics and methodology for our search models, leveraging LLMs to address unique challenges in the enterprise such as security and privacy.
• As a technical leader, you will help build a high-performing team with an inclusive and positive team culture.
• As a technical leader, you will iterate on our interview processes, and close candidates to help grow the team. You will also coach and mentor engineers at different levels to achieve their career goals.

What You Bring To The Table

• 5+ years of engineering with 2+ years of experience as a senior engineer (technical lead) leading a team of software engineers.
• Passionate about helping product and ranking teams move faster and scale their solutions better in an environment where everyone cares deeply about customer impact and success.
• First-hand experience relevant to search platforms such as traditional information retrieval, search ranking and relevance, recommendation systems, or question answering systems.
• Background in text processing, information retrieval, natural language understanding, or machine learning.

Nice to Have

• Experience with (or desire to learn) large language models, retrieval augmented generation (RAG), and agents.
• Experience in Python. Contributing to mature python libraries or platform code, including open-source repositories is a nice to have.
• Experience in Golang (not required).

The Role

Are you a software engineer who has honed your craft, partnership, and execution over years building and improving production systems, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you.

As a senior software engineer on our “agent lab” Natural Language Understanding team, you will play a central part in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale. You will have the opportunity to shape the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI.

Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering challenges, and pushing the envelope of value provided to customers. 

If you are looking to do the best work of your career with a bright, dedicated, and impact-driven team alongside you, we’d love to have a conversation.

What You Will Do:

• Take on exciting and difficult engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
• Implement frontier AI algorithms and architectures and productionize them at scale
• Use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
• Influence roadmap and drive the evolution of engineering areas of increasing scope and impact to create lasting value for all our customers
• Hone your craft in writing robust, extensible, readable, and performant code
• Partner with subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to learn from each other and build the best enterprise AI product the world has ever seen
• Mentor other engineers on the team in how to build, maintain, and evolve great software
• Collaborate with machine learning engineers, learn from each other, and build world-class AI systems

What You Bring To The Table:

• ​​4+ years experience designing, building and improving production systems, ideally at scale
• Ability to think and communicate clearly about complex engineering problems and systems
• Comfort giving and receiving feedback, and in holding yourself and your coworkers accountable to a high standard of operational excellence
• Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
• Desire to ship at a startup pace with a high degree of ownership
• Attention to detail
• Drive to ship product improvements with production-grade code
• Strong appetite for continuous incremental wins and completing challenging projects fast
• High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of applied AI

Nice To Have:

• Experience building with LLMs, particularly in iterating on prompts, on model selection, on cognitive architecture design, and on latency/correctness tradeoffs in a data-driven way
• Hands-on experience driving one or more stages of a machine learning problem-solving lifecycle, such as experiment setup, dataset curation, model training, offline evaluation and error analysis, deployment, and online evaluation
• Experience in AI fairness, privacy, permission controls, safety, and/or security

The Role

Are you a software engineer who has honed your craft, partnership, and execution over years building and improving production systems, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you.

As a senior software engineer on our “agent lab” Natural Language Understanding team, you will play a central part in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale. You will have the opportunity to shape the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI.

Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering challenges, and pushing the envelope of value provided to customers. 

If you are looking to do the best work of your career with a bright, dedicated, and impact-driven team alongside you, we’d love to have a conversation.

What You Will Do:

• Take on exciting and difficult engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
• Implement frontier AI algorithms and architectures and productionize them at scale
• Use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
• Influence roadmap and drive the evolution of engineering areas of increasing scope and impact to create lasting value for all our customers
• Hone your craft in writing robust, extensible, readable, and performant code
• Partner with subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to learn from each other and build the best enterprise AI product the world has ever seen
• Mentor other engineers on the team in how to build, maintain, and evolve great software
• Collaborate with machine learning engineers, learn from each other, and build world-class AI systems

What You Bring To The Table:

• ​​4+ years experience designing, building and improving production systems, ideally at scale
• Ability to think and communicate clearly about complex engineering problems and systems
• Comfort giving and receiving feedback, and in holding yourself and your coworkers accountable to a high standard of operational excellence
• Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
• Desire to ship at a startup pace with a high degree of ownership
• Attention to detail
• Drive to ship product improvements with production-grade code
• Strong appetite for continuous incremental wins and completing challenging projects fast
• High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of applied AI

Nice To Have:

• Experience building with LLMs, particularly in iterating on prompts, on model selection, on cognitive architecture design, and on latency/correctness tradeoffs in a data-driven way
• Hands-on experience driving one or more stages of a machine learning problem-solving lifecycle, such as experiment setup, dataset curation, model training, offline evaluation and error analysis, deployment, and online evaluation
• Experience in AI fairness, privacy, permission controls, safety, and/or security

As the Engineering Manager for the Machine Learning Infrastructure team, you will spearhead the development of the cutting-edge platform that powers Moveworks' conversational AI. This role is absolutely critical to the long-term scalability of our core AI product and, ultimately, the company.

Your primary mission is to lead a team of talented engineers in building, optimizing, and scaling the end-to-end systems for the entire ML/LLM lifecycle. This includes our infrastructure for distributed training and inference, model evaluation frameworks, and LLM latency optimization. You will guide the team's technical vision, balancing the operational demands of our core ML infrastructure with forward-looking research to build the next generation of LLMs using cutting-edge generative AI.

The frameworks your team builds serve as the foundation for all ML models in production, serving hundreds of millions of enterprise employees. Your contributions will be instrumental in shaping the Moveworks Enterprise Copilot platform and defining the future of AI-driven employee services.

What You Will Do:

• Lead, Mentor, and Grow a world-class team of ML and Systems Engineers, fostering a culture of innovation, ownership, and operational excellence that aligns with Moveworks' core principles.
• Own the Technical Vision and roadmap for the end-to-end ML platform that powers the entire lifecycle—from data synthesis and distributed training to ultra-low-latency inference and serving—for hundreds of production models, including our proprietary MoveLM series.
• Drive the Strategy for model performance and efficiency, making critical architectural decisions to optimize our GPU infrastructure for latency, throughput, and cost at massive scale.
• Partner with Leaders across agentic platform, search platform, product engineering, and core infrastructure teams to define and deliver the foundational infrastructure that will power the next generation of agentic AI experiences.
• Champion a Product Mindset for your platform, building powerful abstractions and tools that accelerate the velocity of machine learning engineers and researchers across the organization.

What you bring to the table:

• A Master's or Ph.D. in Computer Science, Machine Learning, or a related field.
• 5+ years of industry experience with a proven track record of leading or managing high-performing machine learning or infrastructure teams.
• Deep technical expertise in designing, building, and scaling end-to-end machine learning systems in production environments.
• Strong command of Python and experience with performant languages such as C++ or GoLang.
• Extensive experience with deep learning frameworks like PyTorch or Hugging Face.
• Hands-on experience with modern LLM infrastructure, including distributed training frameworks (e.g., Deepspeed) and inference/serving frameworks (e.g., vLLM, TensorRT-LLM, Kubernetes).
• A strategic mindset with experience balancing the demands of operating robust, scalable infrastructure with the need for forward-looking research and development.
• Excellent communication and collaboration skills, with experience working cross-functionally to deliver complex projects.

Nice to have:

• Experience working with Machine Learning products 

The Role

Software Engineer, Agentic AI Systems (New Grad)

Are you a software engineer who has honed your craft through internships, research, and/or academic projects, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you.

As a software engineer on our “agent lab” Natural Language Understanding team, you will play an important part in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale. You will have the opportunity to contribute to the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O.

You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI. Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering problems, and pushing the envelope of value provided to customers. If you are looking to do impactful work with a bright, dedicated, and impact-driven team alongside you, we’d love to have a conversation.

What You Will Do:

• Take on exciting engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
• Implement frontier AI algorithms and architectures and help productionize them at scale, with support from senior engineers
• Use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
• Execute on projects to create lasting value for all our customers
• Hone your craft in writing robust, extensible, readable, and performant code
• Partner with subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to learn from each other and build the best enterprise AI product the world has ever seen
• Learn from and collaborate with senior engineers and machine learning engineers to build world-class AI systems

What You Bring To The Table:

• Strong programming fundamentals and experience building software through coursework, projects, internships, and/or research
• Ability to think and communicate clearly about engineering problems and systems
• Eagerness to learn, give and receive feedback, and hold yourself to a high standard of operational excellence
• Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
• Desire to ship at a startup pace with a high degree of ownership
• Attention to detail
• Drive to ship product improvements with production-grade code (with guidance and iterative development)
• Strong appetite for continuous incremental wins and completing challenging projects fast
• High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of applied AI

Nice To Have:

• Internship or research experience building production-quality software
• Experience building with LLMs, particularly in iterating on prompts, on model selection, on cognitive architecture design, and on latency/correctness tradeoffs in a data-driven way
• Hands-on experience with one or more stages of a machine learning problem-solving lifecycle, such as experiment setup, dataset curation, model training, offline evaluation and error analysis, deployment, and online evaluation
• Experience in AI fairness, privacy, permission controls, safety, and/or security

The Role

Software Engineer, Agentic AI Systems (New Grad)

Are you a software engineer who has honed your craft through internships, research, and/or academic projects, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you.

As a software engineer on our “agent lab” Natural Language Understanding team, you will play an important part in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale. You will have the opportunity to contribute to the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O.

You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI. Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering problems, and pushing the envelope of value provided to customers. If you are looking to do impactful work with a bright, dedicated, and impact-driven team alongside you, we’d love to have a conversation.

What You Will Do:

• Take on exciting engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
• Implement frontier AI algorithms and architectures and help productionize them at scale, with support from senior engineers
• Use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
• Execute on projects to create lasting value for all our customers
• Hone your craft in writing robust, extensible, readable, and performant code
• Partner with subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to learn from each other and build the best enterprise AI product the world has ever seen
• Learn from and collaborate with senior engineers and machine learning engineers to build world-class AI systems

What You Bring To The Table:

• Strong programming fundamentals and experience building software through coursework, projects, internships, and/or research
• Ability to think and communicate clearly about engineering problems and systems
• Eagerness to learn, give and receive feedback, and hold yourself to a high standard of operational excellence
• Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
• Desire to ship at a startup pace with a high degree of ownership
• Attention to detail
• Drive to ship product improvements with production-grade code (with guidance and iterative development)
• Strong appetite for continuous incremental wins and completing challenging projects fast
• High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of applied AI

Nice To Have:

• Internship or research experience building production-quality software
• Experience building with LLMs, particularly in iterating on prompts, on model selection, on cognitive architecture design, and on latency/correctness tradeoffs in a data-driven way
• Hands-on experience with one or more stages of a machine learning problem-solving lifecycle, such as experiment setup, dataset curation, model training, offline evaluation and error analysis, deployment, and online evaluation
• Experience in AI fairness, privacy, permission controls, safety, and/or security

The Role

Are you a software engineer who has honed your craft, partnership, and execution over years building and improving production systems, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you.

As a senior software engineer on our “agent lab” Natural Language Understanding team, you will play an important part in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale. You will have the opportunity to contribute to the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O.

You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI. Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering problems, and pushing the envelope of value provided to customers. If you are looking to do impactful work with a bright, dedicated, and impact-driven team alongside you, we’d love to have a conversation.

What You Will Do:

• Take on exciting and difficult engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
• Implement frontier AI algorithms and architectures and help productionize them at scale
• Use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
• Contribute to roadmap and help drive the evolution of engineering areas of growing scope and impact to create lasting value for all our customers
• Hone your craft in writing robust, extensible, readable, and performant code
• Partner with subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to learn from each other and build the best enterprise AI product the world has ever seen
• Mentor other engineers on the team in how to build, maintain, and evolve great software
• Collaborate with machine learning engineers, learn from each other, and build world-class AI systems

What You Bring To The Table:

• 2+ years experience designing, building, and improving production systems, ideally at scale
• Ability to think and communicate clearly about complex engineering problems and systems
• Comfort giving and receiving feedback, and in holding yourself and your coworkers accountable to a high standard of operational excellence
• Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
• Desire to ship at a startup pace with a high degree of ownership
• Attention to detail
• Drive to ship product improvements with production-grade code
• Strong appetite for continuous incremental wins and completing challenging projects fast
• High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of applied AI

Nice To Have:

• Experience building with LLMs, particularly in iterating on prompts, on model selection, on cognitive architecture design, and on latency/correctness tradeoffs in a data-driven way
• Hands-on experience driving one or more stages of a machine learning problem-solving lifecycle, such as experiment setup, dataset curation, model training, offline evaluation and error analysis, deployment, and online evaluation
• Experience in AI fairness, privacy, permission controls, safety, and/or security

The Role

Are you a software engineer who has honed your craft, partnership, and execution over years building and improving production systems, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you.

As a senior software engineer on our “agent lab” Natural Language Understanding team, you will play an important part in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale. You will have the opportunity to contribute to the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O.

You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI. Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering problems, and pushing the envelope of value provided to customers. If you are looking to do impactful work with a bright, dedicated, and impact-driven team alongside you, we’d love to have a conversation.

What You Will Do:

• Take on exciting and difficult engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
• Implement frontier AI algorithms and architectures and help productionize them at scale
• Use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
• Contribute to roadmap and help drive the evolution of engineering areas of growing scope and impact to create lasting value for all our customers
• Hone your craft in writing robust, extensible, readable, and performant code
• Partner with subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to learn from each other and build the best enterprise AI product the world has ever seen
• Mentor other engineers on the team in how to build, maintain, and evolve great software
• Collaborate with machine learning engineers, learn from each other, and build world-class AI systems

What You Bring To The Table:

• 2+ years experience designing, building, and improving production systems, ideally at scale
• Ability to think and communicate clearly about complex engineering problems and systems
• Comfort giving and receiving feedback, and in holding yourself and your coworkers accountable to a high standard of operational excellence
• Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
• Desire to ship at a startup pace with a high degree of ownership
• Attention to detail
• Drive to ship product improvements with production-grade code
• Strong appetite for continuous incremental wins and completing challenging projects fast
• High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of applied AI

Nice To Have:

• Experience building with LLMs, particularly in iterating on prompts, on model selection, on cognitive architecture design, and on latency/correctness tradeoffs in a data-driven way
• Hands-on experience driving one or more stages of a machine learning problem-solving lifecycle, such as experiment setup, dataset curation, model training, offline evaluation and error analysis, deployment, and online evaluation
• Experience in AI fairness, privacy, permission controls, safety, and/or security

The Role

Are you a software engineer who has honed your craft, technical leadership, and execution over years building and improving production systems, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you.

As a staff software engineer on our “agent lab” Natural Language Understanding team, you will play a central role in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale. You will have the opportunity to lead the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O.

You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI. Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering challenges, and pushing the envelope of value provided to customers. If you are looking to do the best work of your career with a bright, dedicated, and impact-driven team alongside you, we’d love to have a conversation.

What You Will Do:

• Lead and take on exciting and difficult engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
• Define, drive, and deliver frontier AI distributed systems and ensure they are productionized at scale, or use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
• Set technical direction, influence roadmap, and drive the evolution of engineering areas of broad scope and impact to create lasting value for all our customers
• Set a high bar for writing robust, extensible, readable, and performant code, and raise the engineering standard for the team
• Partner with senior subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to align teams and build the best enterprise AI products the world has ever seen
• Mentor and develop engineers on the team, including coaching on technical design, execution, and engineering excellence
• Collaborate deeply with machine learning engineers to define end-to-end system architecture and help build world-class AI systems

What You Bring To The Table:

• 6+ years experience designing, building, and improving production systems, ideally at scale
• Demonstrated ability to lead technical design and execution across multiple projects and stakeholders
• Ability to think and communicate clearly about complex engineering problems and systems, and to drive alignment across teams
• Comfort giving and receiving feedback, and in holding yourself and your coworkers accountable to a high standard of operational excellence
• Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
• Desire to ship at a startup pace with a high degree of ownership
• Strong attention to detail and a track record of shipping high-quality, production-grade systems
• Strong appetite for continuous incremental wins and completing challenging projects fast
• High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of applied AI

Nice To Have:

• Experience building with LLMs, particularly in iterating on prompts, on model selection, on cognitive architecture design, and on latency/correctness tradeoffs in a data-driven way
• Hands-on experience driving one or more stages of a machine learning problem-solving lifecycle, such as experiment setup, dataset curation, model training, offline evaluation and error analysis, deployment, and online evaluation
• Experience in AI fairness, privacy, permission controls, safety, and/or security
• Experience designing and operating large-scale, high-reliability systems with strong observability, SLOs, and on-call excellence

The Role

Are you a software engineer who has honed your craft, technical leadership, and execution over years building and improving production systems, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you.

As a staff software engineer on our “agent lab” Natural Language Understanding team, you will play a central role in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale. You will have the opportunity to lead the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O.

You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI. Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering challenges, and pushing the envelope of value provided to customers. If you are looking to do the best work of your career with a bright, dedicated, and impact-driven team alongside you, we’d love to have a conversation.

What You Will Do:

• Lead and take on exciting and difficult engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
• Define, drive, and deliver frontier AI distributed systems and ensure they are productionized at scale, or use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
• Set technical direction, influence roadmap, and drive the evolution of engineering areas of broad scope and impact to create lasting value for all our customers
• Set a high bar for writing robust, extensible, readable, and performant code, and raise the engineering standard for the team
• Partner with senior subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to align teams and build the best enterprise AI products the world has ever seen
• Mentor and develop engineers on the team, including coaching on technical design, execution, and engineering excellence
• Collaborate deeply with machine learning engineers to define end-to-end system architecture and help build world-class AI systems

What You Bring To The Table:

• 6+ years experience designing, building, and improving production systems, ideally at scale
• Demonstrated ability to lead technical design and execution across multiple projects and stakeholders
• Ability to think and communicate clearly about complex engineering problems and systems, and to drive alignment across teams
• Comfort giving and receiving feedback, and in holding yourself and your coworkers accountable to a high standard of operational excellence
• Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
• Desire to ship at a startup pace with a high degree of ownership
• Strong attention to detail and a track record of shipping high-quality, production-grade systems
• Strong appetite for continuous incremental wins and completing challenging projects fast
• High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of applied AI

Nice To Have:

• Experience building with LLMs, particularly in iterating on prompts, on model selection, on cognitive architecture design, and on latency/correctness tradeoffs in a data-driven way
• Hands-on experience driving one or more stages of a machine learning problem-solving lifecycle, such as experiment setup, dataset curation, model training, offline evaluation and error analysis, deployment, and online evaluation
• Experience in AI fairness, privacy, permission controls, safety, and/or security
• Experience designing and operating large-scale, high-reliability systems with strong observability, SLOs, and on-call excellence

What You Will Do:

Are you up for an exciting challenge? Picture yourself scaling and optimizing a cutting-edge Generative AI product that offers instant assistance to enterprise users. Ever wondered how to apply abstraction, scalability, and optimization to a dynamic, probabilistic, and generative conversational system? If so, we invite you to join our Conversation Engine team. At our company, you'll have the unique opportunity to work at the core of Moveworks Generative AI product. Your main focus will be scaling and optimizing it to meet the growing demands of the enterprise solution space. Take a look at our recent posts (Moveworks Live, Creator Studio) on Moveworks’s groundbreaking solutions for enterprise AI. As pioneers in enterprise AI, we don't follow a set formula for building the next solution. Instead, we encourage you to bring your innovative ideas and imagination to solve unsolved problems. You'll collaborate closely with machine learning experts and cross-functional teams, rapidly iterating over new ideas, and leveraging user behavior data to make informed decisions. 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, and enhance our end-to-end product infrastructure with the utmost engineering quality and robustness.

• Construct an extensive product infrastructure, complete with user-friendly interfaces that empower engineers and configurators to effortlessly customize and optimize generative AI models. This includes collecting data and feedback, adapting to diverse enterprise use cases and business contexts, and delivering domain-specific conversational experiences.
• Design scalable API abstractions for our conversation platform, which supports all popular chat clients (for example, MSTeams, Slack, and Web) and offers a neutral API for developing other parts of the engineering system.
• Optimize the dialog engine to accommodate a wide range of conversational features, leveraging private domain knowledge unique to each enterprise customer in the cloud, and enable real-time multilingual translation. You will achieve this with minimal memory footprint, low latency, and streamlined development process for application engineers.
• Champion the best practices for coding patterns, API design, scalability, robustness, and optimization. Foster a culture of excellence and continuous improvements among fellow engineers.
• Provide comprehensive insights and visibility into the performance of our conversational AI product. This involves implementing a robust logging and tracing framework, user-friendly debugging and triaging tools, and automated metrics for efficient monitoring and analysis.
• Collaborate closely with ML engineers, application engineers, product teams, and customer support teams to drive the development of new features and scalability initiatives.

What you bring to the table:

• A strong foundation in computer science and software engineering, coupled with expertise in building scalable systems.
• A deep understanding of clean, modular, and scalable API design. You have the ability to champion best coding practices and influence fellow engineers to uphold high standards of code quality and craftsmanship.
• A passion for optimizing systems and improving performance. You are well-versed in tracing, logging, and metrics frameworks, and possess a systematic approach to quickly identify and resolve latency bottlenecks, race conditions, and throughput limitations.
• The ability to independently research new requirements and develop innovative solutions. You thrive in an environment of fast-paced coding and execution, embracing rapid iterations to deliver results.
• Strong communication skills to effectively articulate rationales and design approaches. You have a cross-functional awareness that enables you to collaborate seamlessly with various teams.
• A bachelor's degree or higher in computer science or a related field, demonstrating your academic foundation in the field.
• 2+ years of professional development experience, specifically in building systems at scale.
  
  

Nice To Have

• Experience with scaling ML systems
• Experience with Agentic AI product or LLMs

What You Will Do

Are you up for an exciting challenge? Picture yourself scaling and optimizing a cutting-edge Generative AI product that offers instant assistance to enterprise users. Ever wondered how to apply abstraction, scalability, and optimization to a dynamic, probabilistic, and generative conversational system? If so, we invite you to join our Conversation Engine team. At our company, you'll have the unique opportunity to work at the core of Moveworks Generative AI product. Your main focus will be scaling and optimizing it to meet the growing demands of the enterprise solution space. Take a look at our recent posts (Moveworks Live, Creator Studio) on Moveworks’s groundbreaking solutions for enterprise AI. As pioneers in enterprise AI, we don't follow a set formula for building the next solution. Instead, we encourage you to bring your innovative ideas and imagination to solve unsolved problems. You'll collaborate closely with machine learning experts and cross-functional teams, rapidly iterating over new ideas, and leveraging user behavior data to make informed decisions. 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, and enhance our end-to-end product infrastructure with the utmost engineering quality and robustness.

• Construct an extensive product infrastructure, complete with user-friendly interfaces that empower engineers and configurators to effortlessly customize and optimize generative AI models. This includes collecting data and feedback, adapting to diverse enterprise use cases and business contexts, and delivering domain-specific conversational experiences.
• Design scalable API abstractions for our conversation platform, which supports all popular chat clients (for example, MSTeams, Slack, and Web) and offers a neutral API for developing other parts of the engineering system.
• Optimize the dialog engine to accommodate a wide range of conversational features, leveraging private domain knowledge unique to each enterprise customer in the cloud, and enable real-time multilingual translation. You will achieve this with minimal memory footprint, low latency, and streamlined development process for application engineers.
• Champion the best practices for coding patterns, API design, scalability, robustness, and optimization. Foster a culture of excellence and continuous improvements among fellow engineers.
• Provide comprehensive insights and visibility into the performance of our conversational AI product. This involves implementing a robust logging and tracing framework, user-friendly debugging and triaging tools, and automated metrics for efficient monitoring and analysis.
• Collaborate closely with ML engineers, application engineers, product teams, and customer support teams to drive the development of new features and scalability initiatives.

What You Bring To The Table

• A strong foundation in computer science and software engineering, coupled with expertise in building scalable systems.
• A deep understanding of clean, modular, and scalable API design. You have the ability to champion best coding practices and influence fellow engineers to uphold high standards of code quality and craftsmanship.
• A passion for optimizing systems and improving performance. You are well-versed in tracing, logging, and metrics frameworks, and possess a systematic approach to quickly identify and resolve latency bottlenecks, race conditions, and throughput limitations.
• The ability to independently research new requirements and develop innovative solutions. You thrive in an environment of fast-paced coding and execution, embracing rapid iterations to deliver results.
• Strong communication skills to effectively articulate rationales and design approaches. You have a cross-functional awareness that enables you to collaborate seamlessly with various teams.
• A bachelor's degree or higher in computer science or a related field, demonstrating your academic foundation in the field.
• 5+ years of professional development experience, specifically in building systems at scale.

Nice To Have

• Experience with scaling ML systems
• Experience with Agentic AI product or LLMs

What You Will Do

We are looking for a Machine Learning Engineer to help build cutting edge ML infrastructure for building and serving LLM’s  at Moveworks. This role will be critical in building, optimizing and scaling end-to-end machine learning systems. The ML infra team covers a variety of responsibilities including distributed training and inference pipeline for large language models(LLM), model evaluation and monitoring framework, LLM latency optimization, etc. These frameworks serve as a strong foundation for our hundreds of ML and NLP models in production serving hundreds of millions of enterprise employees. We are solving many challenges on scalability of services as well as optimization of core algorithms. 

In this role you will work closely with our machine learning team, data infrastructure team and every core skill. Above all, your work will impact the way our customers experience AI. Put another way, this role is absolutely critical to the long term scalability of our core AI product and ultimately the company. You will be responsible for building and productionizing ML infrastructure that runs state of the art models. If you are looking for a high-impact, fast-moving role to take your work to the next level, we should have a conversation.  

• Design, build and optimize scalable machine learning infrastructure to support training, evaluation, and deployment of large language models.
• Build abstractions to automate various steps in different ML workflows
• Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features
• Leverage your experience to drive best practices in ML and data engineering

What You Bring To The Table 

• 2+ years of industry experience in Machine Learning, Infrastructure or related fields
• Experience with deep learning framework such as Pytorch or Huggingface or LLM serving frameworks such as vLLM or TensorRT-LLM.
• Experience with building and scaling end-to-end machine learning systems
• Experience building scalable micro services and ETL pipelines
• Expertise in Python and experience with performant language such as C++ or GoLang
• Bachelor's in Computer Science, Computer Engineering, Mathematics, or equivalent field.
• A love of research publications in the machine learning and software engineering communities
• Effective communicator with experience collaborating cross-functionally with other teams

Nice To Haves

• Experience with ML Inference optimization using TensorRT. 
• Experience with distributed training  frameworks such as Deepspeed.
• Experience in managing and scaling GPU Inference services via Kubernetes

What You Will Do

Are you up for an exciting challenge? Picture yourself scaling and optimizing a cutting-edge Generative AI product that offers instant assistance to enterprise users. Ever wondered how to apply abstraction, scalability, and optimization to a dynamic, probabilistic, and generative conversational system? If so, we invite you to join our Conversation Engine team. At our company, you'll have the unique opportunity to work at the core of Moveworks Generative AI product. Your main focus will be scaling and optimizing it to meet the growing demands of the enterprise solution space. Take a look at our recent posts (Moveworks Live, Creator Studio) on Moveworks’s groundbreaking solutions for enterprise AI. As pioneers in enterprise AI, we don't follow a set formula for building the next solution. Instead, we encourage you to bring your innovative ideas and imagination to solve unsolved problems. You'll collaborate closely with machine learning experts and cross-functional teams, rapidly iterating over new ideas, and leveraging user behavior data to make informed decisions. 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, and enhance our end-to-end product infrastructure with the utmost engineering quality and robustness.

• Construct an extensive product infrastructure, complete with user-friendly interfaces that empower engineers and configurators to effortlessly customize and optimize generative AI models. This includes collecting data and feedback, adapting to diverse enterprise use cases and business contexts, and delivering domain-specific conversational experiences.
• Design scalable API abstractions for our conversation platform, which supports all popular chat clients (for example, MSTeams, Slack, and Web) and offers a neutral API for developing other parts of the engineering system.
• Optimize the dialog engine to accommodate a wide range of conversational features, leveraging private domain knowledge unique to each enterprise customer in the cloud, and enable real-time multilingual translation. You will achieve this with minimal memory footprint, low latency, and streamlined development process for application engineers.
• Champion the best practices for coding patterns, API design, scalability, robustness, and optimization. Foster a culture of excellence and continuous improvements among fellow engineers.
• Provide comprehensive insights and visibility into the performance of our conversational AI product. This involves implementing a robust logging and tracing framework, user-friendly debugging and triaging tools, and automated metrics for efficient monitoring and analysis.
• Collaborate closely with ML engineers, application engineers, product teams, and customer support teams to drive the development of new features and scalability initiatives.

What You Bring To The Table

• A strong foundation in computer science and software engineering, coupled with expertise in building scalable systems.
• A deep understanding of clean, modular, and scalable API design. You have the ability to champion best coding practices and influence fellow engineers to uphold high standards of code quality and craftsmanship.
• A passion for optimizing systems and improving performance. You are well-versed in tracing, logging, and metrics frameworks, and possess a systematic approach to quickly identify and resolve latency bottlenecks, race conditions, and throughput limitations.
• The ability to independently research new requirements and develop innovative solutions. You thrive in an environment of fast-paced coding and execution, embracing rapid iterations to deliver results.
• Strong communication skills to effectively articulate rationales and design approaches. You have a cross-functional awareness that enables you to collaborate seamlessly with various teams.
• A bachelor's degree or higher in computer science or a related field, demonstrating your academic foundation in the field.
• 5+ years of professional development experience, specifically in building systems at scale.

Nice To Have

• Experience with scaling ML systems
• Experience with Agentic AI product or LLMs

The Role

We are looking for an experienced software engineer with machine learning expertise to join us in expanding Moveworks NLU (natural language understanding) and agentic AI capabilities, enabling increasingly magical user experiences and improving Moveworks generative and conversational AI capabilities platform-wide.

As a member of the NLU team, you will have all the tools of modern NLP and NLG at your disposal, from best-in-class LLMs, multimodal foundation models, and hybrid vector databases to all the infrastructure needed to fine-tune, evaluate, and serve your own models in production. We are a data-centric team, and you will have the assistance of a world-class annotation team to build error-free, inclusive, and privacy-preserving datasets for model training and evaluation. 

You will also go beyond model training to achieve state-of-the-art AI performance in production, in every meaning of the word “performance”: not just accuracy and quality of outputs, but also latency, reliability, and capability of the end-to-end user-facing system as a whole. Successful machine learning engineers on the team are just as motivated to design and evolve great compound AI systems and their components as they are to train great models.

Our team indexes on increasing our ability to move fast, solving challenging product and engineering challenges, and pushing the envelope of value provided to customers. Your work will impact our team’s core objectives to understand every enterprise issue and build the most reliable copilot the world has ever seen, in deep collaboration with other functions within Moveworks.

What You Will Do

• Apply software engineering, machine learning, and compound AI system engineering to create lasting value for all our customers
• Take on exciting and difficult challenges in conversational agent domains, such as agent cognitive architecture iteration, multimodal agents, multilingual agents, conversational memory management, reasoning strategies (eg Tree of Thoughts / Graph of Thoughts), fine-tuning LLMs for tool use and enterprise reasoning (including preference alignment with RLHF/RLAIF/DPO), agent evaluation, active learning of exemplars for few-shot text classification, abstractive summarization, and grounding & verifiability for generated text.
• Push the envelope of Moveworks commitments to responsible AI, expanding our infrastructure for ensuring models work equally well for all people, red-teaming models to ensure they behave safely and as intended, and keeping our ML at the cutting edge of data privacy and security
• Use your knowledge of machine learning fundamentals and LLMs to design new algorithms and architectures, evaluate them with small scale experiments and productionize your solutions at scale
• Research and develop innovative, scalable and dynamic solutions to hard problems
• Use the latest advances in machine learning and LLMs to enhance our products and create delightful user experiences
• Spend time weekly reading, discussing, and potentially building models out of the latest ML research and open-source code

What You Bring To The Table

• Drive to ship product improvements with production-quality, fully unit-tested code and rigorously-evaluated updates to models, prompts, or other tunable system components
• Ability to solve problems end-to-end with machine learning
• Solid grasp of model evaluation fundamentals, especially for text generation, text classification, and non-uniform sampling regimes
• Attention to detail and high standard of data quality for training and especially evaluation datasets
• Readiness to hit the ground running in a Mac development environment, programming in Python and/or Golang
• Knowledge of deep learning architectures and algorithms and leading large language models
• Desire to work at a startup pace in a medium-sized company with a high degree of ownership
• Drive to ship product improvements with production-grade code
• Strong appetite for continuous incremental wins and completing challenging projects fast
• High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of NLU & AI

Nice To Have

• Experience productionizing ML models at scale
• Experience in AI fairness, privacy, permission controls, safety, and/or security
• Working familiarity with machine learning frameworks such as PyTorch and LightGBM
• Experience with NLP libraries such as HuggingFace Transformers, PEFT, and SpaCy 3
• Experience iterating on prompts for large language models in a data-driven way

The Role

We are looking for an experienced software engineer with machine learning expertise to join us in expanding Moveworks NLU (natural language understanding) and agentic AI capabilities, enabling increasingly magical user experiences and improving Moveworks generative and conversational AI capabilities platform-wide.

As a member of the NLU team, you will have all the tools of modern NLP and NLG at your disposal, from best-in-class LLMs, multimodal foundation models, and hybrid vector databases to all the infrastructure needed to fine-tune, evaluate, and serve your own models in production. We are a data-centric team, and you will have the assistance of a world-class annotation team to build error-free, inclusive, and privacy-preserving datasets for model training and evaluation. 

You will also go beyond model training to achieve state-of-the-art AI performance in production, in every meaning of the word “performance”: not just accuracy and quality of outputs, but also latency, reliability, and capability of the end-to-end user-facing system as a whole. Successful machine learning engineers on the team are just as motivated to design and evolve great compound AI systems and their components as they are to train great models.

Our team indexes on increasing our ability to move fast, solving challenging product and engineering challenges, and pushing the envelope of value provided to customers. Your work will impact our team’s core objectives to understand every enterprise issue and build the most reliable copilot the world has ever seen, in deep collaboration with other functions within Moveworks.

What You Will Do

• Apply software engineering, machine learning, and compound AI system engineering to create lasting value for all our customers
• Take on exciting and difficult challenges in conversational agent domains, such as agent cognitive architecture iteration, multimodal agents, multilingual agents, conversational memory management, reasoning strategies (eg Tree of Thoughts / Graph of Thoughts), fine-tuning LLMs for tool use and enterprise reasoning (including preference alignment with RLHF/RLAIF/DPO), agent evaluation, active learning of exemplars for few-shot text classification, abstractive summarization, and grounding & verifiability for generated text.
• Push the envelope of Moveworks commitments to responsible AI, expanding our infrastructure for ensuring models work equally well for all people, red-teaming models to ensure they behave safely and as intended, and keeping our ML at the cutting edge of data privacy and security
• Use your knowledge of machine learning fundamentals and LLMs to design new algorithms and architectures, evaluate them with small scale experiments and productionize your solutions at scale
• Research and develop innovative, scalable and dynamic solutions to hard problems
• Use the latest advances in machine learning and LLMs to enhance our products and create delightful user experiences
• Spend time weekly reading, discussing, and potentially building models out of the latest ML research and open-source code

What You Bring To The Table

• Drive to ship product improvements with production-quality, fully unit-tested code and rigorously-evaluated updates to models, prompts, or other tunable system components
• Ability to solve problems end-to-end with machine learning
• Solid grasp of model evaluation fundamentals, especially for text generation, text classification, and non-uniform sampling regimes
• Attention to detail and high standard of data quality for training and especially evaluation datasets
• Readiness to hit the ground running in a Mac development environment, programming in Python and/or Golang
• Knowledge of deep learning architectures and algorithms and leading large language models
• Desire to work at a startup pace in a medium-sized company with a high degree of ownership
• Drive to ship product improvements with production-grade code
• Strong appetite for continuous incremental wins and completing challenging projects fast
• High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of NLU & AI

Nice To Have

• Experience productionizing ML models at scale
• Experience in AI fairness, privacy, permission controls, safety, and/or security
• Working familiarity with machine learning frameworks such as PyTorch and LightGBM
• Experience with NLP libraries such as HuggingFace Transformers, PEFT, and SpaCy 3
• Experience iterating on prompts for large language models in a data-driven way
  
  

What You Will Do

Are you up for an exciting challenge? Picture yourself scaling and optimizing a cutting-edge Generative AI product that offers instant assistance to enterprise users. Ever wondered how to apply abstraction, scalability, and optimization to a dynamic, probabilistic, and generative conversational system? If so, we invite you to join our Conversation Engine team. At our company, you'll have the unique opportunity to work at the core of Moveworks Generative AI product. Your main focus will be scaling and optimizing it to meet the growing demands of the enterprise solution space. Take a look at our recent posts (Moveworks Live, Creator Studio) on Moveworks’s groundbreaking solutions for enterprise AI. As pioneers in enterprise AI, we don't follow a set formula for building the next solution. Instead, we encourage you to bring your innovative ideas and imagination to solve unsolved problems. You'll collaborate closely with machine learning experts and cross-functional teams, rapidly iterating over new ideas, and leveraging user behavior data to make informed decisions. 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, and enhance our end-to-end product infrastructure with the utmost engineering quality and robustness.

• Construct an extensive product infrastructure, complete with user-friendly interfaces that empower engineers and configurators to effortlessly customize and optimize generative AI models. This includes collecting data and feedback, adapting to diverse enterprise use cases and business contexts, and delivering domain-specific conversational experiences.
• Design scalable API abstractions for our conversation platform, which supports all popular chat clients (for example, MSTeams, Slack, and Web) and offers a neutral API for developing other parts of the engineering system.
• Optimize the dialog engine to accommodate a wide range of conversational features, leveraging private domain knowledge unique to each enterprise customer in the cloud, and enable real-time multilingual translation. You will achieve this with minimal memory footprint, low latency, and streamlined development process for application engineers.
• Champion the best practices for coding patterns, API design, scalability, robustness, and optimization. Foster a culture of excellence and continuous improvements among fellow engineers.
• Provide comprehensive insights and visibility into the performance of our conversational AI product. This involves implementing a robust logging and tracing framework, user-friendly debugging and triaging tools, and automated metrics for efficient monitoring and analysis.
• Collaborate closely with ML engineers, application engineers, product teams, and customer support teams to drive the development of new features and scalability initiatives.

What You Bring To The Table

• A strong foundation in computer science and software engineering, coupled with expertise in building scalable systems.
• A deep understanding of clean, modular, and scalable API design. You have the ability to champion best coding practices and influence fellow engineers to uphold high standards of code quality and craftsmanship.
• A passion for optimizing systems and improving performance. You are well-versed in tracing, logging, and metrics frameworks, and possess a systematic approach to quickly identify and resolve latency bottlenecks, race conditions, and throughput limitations.
• The ability to independently research new requirements and develop innovative solutions. You thrive in an environment of fast-paced coding and execution, embracing rapid iterations to deliver results.
• Strong communication skills to effectively articulate rationales and design approaches. You have a cross-functional awareness that enables you to collaborate seamlessly with various teams.
• A bachelor's degree or higher in computer science or a related field, demonstrating your academic foundation in the field.
• 7+ years of professional development experience, specifically in building systems at scale.

Nice To Have

• Experience with scaling ML systems
• Experience with Agentic AI product or LLMs