The Role

Are 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 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 AI capable 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

What You Bring To The Table:

• ​​2+ 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 security
  
  Compensation Range: $180,000-$221,000