Senior Software Engineer II, NLU & Agentic AI

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

As a senior engineer on the NLU team, you will have the opportunity to shape the evolution of the Moveworks copilot platform in several of the following areas: cognitive architecture (e.g. ReAct, Tree of Thought), LLM-powered offline self-reflection and improvement, copilot environment simulation, enterprise knowledge graphs, steerability, multimodal reasoning, multilingual support, in-context learning from user feedback, and data privacy protection.You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs, multimodal models, and optimized search and ML infrastructure.

We are a data-centric team, and we partner closely with Moveworks’s world-class annotation team to build error-free, inclusive, and privacy-preserving datasets to evaluate impact of changes, so that team members can learn as quickly as our AI does. 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 the best AI systems the world has ever seen

• ​​4+ years experience designing, building and improving scaled production systems
• Ability to think and communicate clearly about complex engineering problems and systems
• Comfort giving and receiving feedback, and in holding yourself and fellow Movesters accountable to a high standard of operational excellence
• Readiness to hit the ground running in a Mac development environment, programming in Python and/or Golang
• Desire to work at a startup pace in a medium-sized company 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 securityBase salary compensation range: $200,000-$275,000

*Our compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions or bonus plans.Ultimately, in determining pay, final offers may vary from the amount listed based on geography, the role’s scope and complexity, the candidate’s experience and expertise, and other factors.

Moveworks Is An Equal Opportunity Employer*Moveworks is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other characteristics protected by law.

Moveworks is an AI Assistant that helps all employees find information, automate tasks, and be more productive. We give the entire workforce one interface to get answers and take action across every enterprise system. And for developers, we make it easy to build and deploy AI agents that bring the power of Moveworks to every business process or workflow.

It’s all powered by a pioneering Reasoning Engine paired with an Agentic Automation Engine that, together, are able to handle even the most complex requests by understanding queries, then building and executing intelligent plans to fulfill them — in seconds.

Founded in 2016, Moveworks has raised $315M in funding, and eclipsed $100M in ARR in 2024 thanks to our award-winning product and team. Along the way, we’ve earned recognition as a leader in the Forrester Wave for Conversational AI Platforms for Employee Services, as a member of the Forbes Cloud 100 and AI 50 lists, and as one of America’s Most Loved Workplaces according to Newsweek.

Today, Moveworks has over 500 employees in six offices globally, and is backed by some of the world's most prominent investors including Kleiner Perkins, Lightspeed, Bain Capital Ventures, Sapphire Ventures, Iconiq, and more.

Over 350 leading organizations like Marriott, Databricks, Toyota, CVS Health, and Honeywell trust Moveworks to increase operational efficiency, enhance the employee experience, and drive lasting AI transformation.

Come join one of the most innovative teams on the planet!