Staff AI Engineer, Moveworks
Special Projects - Office of the CTO
$200-330k
+ Equity
Office located in Mountain View, CA
Enterprise-built conversational AI platform
Be an early applicant
Enterprise-built conversational AI platform
501-1000 employees
Be an early applicant
$200-330k
+ Equity
Office located in Mountain View, CA
501-1000 employees
Company mission
To make getting instant help at work effortless for employees.
Role
Who you are
- 8+ years of software engineering experience with strong fundamentals in system design, algorithms, and data structures
- 5+ years hands-on experience building AI-powered applications using LLMs and modern AI frameworks
- Proven track record of leading complex technical initiatives and shipping production AI systems that deliver measurable business value at scale
- Demonstrated experience influencing technical strategy and mentoring senior engineers
- Deep expertise with AI development tools and platforms (LangChain, LlamaIndex, OpenAI/Anthropic APIs, vector databases)
- Expert-level proficiency in Python; experience with TypeScript/JavaScript is a plus
- Strong understanding of prompt engineering, RAG architectures, and agentic AI patterns
- Deep expertise in at least one area: LLM infrastructure, distributed training, inference optimization, or multi-agent systems
- Experience with deep learning frameworks (PyTorch, Hugging Face Transformers)
- Familiarity with LLM serving frameworks (vLLM, TensorRT-LLM, or similar)
- Experience architecting systems for scale, reliability, and performance
- Experience with AI evaluation methodologies, safety considerations, and failure mode analysis
- Comfortable with cloud platforms (AWS/GCP/Azure), containerization, and modern DevOps practices
- Strong understanding of distributed systems, microservices architecture, and data pipeline design
- Demonstrated ability to drive technical vision and influence decision-making across multiple teams
- Track record of mentoring and developing engineers at various levels
- Experience leading projects with ambiguous requirements and navigating organizational complexity
- Exceptional ability to communicate complex technical concepts to both technical and executive audiences
- Strategic thinking with ability to balance long-term technical vision with near-term business needs
- Proven ability to build consensus and drive adoption of new technologies and practices
- Exceptional ability to navigate ambiguity and rapidly prototype solutions with incomplete information
- Strong research orientation with ability to consume academic papers and translate to practical applications
- Product thinking with focus on user needs, business value, and real-world impact
- Collaborative communication style with ability to explain complex AI concepts clearly
- Intellectual curiosity and excitement about pushing the boundaries of AI capabilities
- Ownership mentality and willingness to tackle the hardest problems
Desirable
- Experience in enterprise software environments and understanding of B2B customer needs
- Deep specialization in one or more AI domains: NLP, computer vision, reinforcement learning, multi-agent systems, or LLM infrastructure
- Contributions to open-source AI projects or published technical writing
- Experience with responsible AI practices, model governance, and compliance considerations
- Previous experience in innovation labs, R&D teams, or strategic technical leadership roles
- Experience with ML inference optimization techniques
- Knowledge of distributed training frameworks (DeepSpeed, FSDP, etc.)
- Familiarity with Kubernetes and container orchestration for ML workloads
- Experience with model quantization, compression, or efficiency techniques
What the job involves
- We're seeking an exceptional Staff AI Engineer to join our Office of the CTO's Special Projects team
- This is a unique opportunity to work at the leading edge of AI research and development, building and iterating on cutting-edge AI agents and models that will shape our company's product vision and strategic direction
- As a staff-level technical leader, you'll not only push the boundaries of what's possible with AI, but also set technical direction, influence architecture decisions across the organization, and mentor engineering teams
- You'll have the freedom to explore emerging AI capabilities, prototype innovative solutions, and identify transformative opportunities for AI integration across our enterprise software platform
- Define technical vision and architecture for next-generation AI capabilities across the company
- Drive AI strategy discussions with the CTO and executive leadership, translating technical possibilities into business opportunities
- Set standards and best practices for AI development that influence teams organization-wide
- Lead cross-functional initiatives that span multiple teams and product areas
- Design, build, and rapidly iterate on experimental AI agents and models to explore state-of-the-art capabilities
- Evaluate emerging AI research, architectures, and techniques for potential integration into our product ecosystem
- Translate cutting-edge research papers into practical implementations and proof-of-concepts
- Stay current with ML research publications and identify opportunities for competitive advantage
- Establish evaluation methodologies and frameworks that become company standards
- Architect enterprise-scale ML infrastructure for LLM training, evaluation, and deployment
- Build robust evaluation and monitoring frameworks to measure model performance, safety, and business impact
- Design for scalability from prototype to production, ensuring systems can handle enterprise workloads
- Optimize inference latency and resource efficiency for production AI systems
- Develop reusable abstractions and tools that accelerate AI development across the organization
- Make critical technical decisions on infrastructure, tooling, and platform choices
- Architect production-quality AI systems including RAG pipelines, agentic workflows, and multi-modal applications
- Build scalable microservices and data pipelines to support AI experimentation and deployment
- Integrate AI capabilities with existing enterprise systems, APIs, and data architectures
- Solve the most complex technical challenges that other engineers escalate
- Partner with the CTO and senior leadership as a trusted technical advisor on AI strategy and roadmap
- Work cross-functionally with ML experts, data infrastructure, and product stakeholders to drive alignment on technical direction
- Identify high-impact opportunities where AI can create significant customer value
- Mentor and develop senior and staff engineers across the organization on AI capabilities and best practices
- Represent the company externally through technical talks, blog posts, or industry engagement
- Direct partnership with executive leadership and significant influence over company-wide AI strategy
- Freedom to experiment without the constraints of typical product development cycles
- Visibility and impact as your work shapes the future direction of our products
- Small team autonomy with resources to move fast and test bold ideas
- Research time to stay at the forefront of AI developments and explore emerging capabilities
- Technical leadership scope that extends across the entire engineering organization
Our take
Moveworks provides IT service and helpdesk support through an AI-driven chatbot. Its system utilizes information about an employee, such as their role and seniority level, to deliver the correct information or carry out processes. Moveworks claims to solve 30% of IT support tickets within weeks of implementation.
In 2024, Moveworks opened a data center in Australia and its service has seen strong uptake from large enterprise-level companies, where IT teams deal with hundreds of requests at a time, helping to minimize backlog and gain back employee time. As more and more workers move from office to home or hybrid, IT support requests have boomed, opening up the opportunity for Moveworks to expand its client pool and provide solutions to help with this change.
Competitors such as Electric offer similar automated IT support services, but Moveworks has invested heavily into creating an AI system that is conversational and easy to use. Automated solutions with machine learning capabilities can also identify cost-saving opportunities. When unused software licenses are estimated to cost companies billions of dollars a year, there is money to be made by identifying and removing these avoidable costs through AI.
Steph
Company Specialist at Welcome to the Jungle
Insights
97% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Jun 2021
$200m
SERIES C
Nov 2019
$75m
SERIES B
Total funding: $305m
Company benefits
- Fully paid medical, dental, and vision coverage with no premiums
- Fully paid short-term disability, long-term disability, and life insurance
- Free daily meals
- Unlimited PTO
- Unlimited paid sick days
- 16 weeks of 100% paid parental leave
- Medical, family care, and military leave
- Competitive salary — we’re one of the best-paying companies in the Bay Area
- 401(k) with matching
- Equity and stock options
- Commuter and parking benefits
Company HQ
Mountain View, CA
Leadership
Bhavin Shah
(CEO)After an MA at Stanford, Bhavin worked as a Director at LeapFrog Enterprises before co-founding Gazillion after 5 years in 2005. They left their CEO role at Refresh to co-found Moveworks in June 2016.
Vaibhav Nivargi
(CTO)Vaibhav started their career as a Stanford University Research Scientist before working for Aster Data as a Software Engineer. Having started ClearStory Data in 2011, they co-founded Moveworks in 2016.
Varun Singh
(President)Varun worked for half a decade as SVP of Product at Sefaira before spending 2 years as Lead Product Manager at Facebook. They left in 2016 to co-found Moveworks.
Jiang Chen
(CTO of AI)Jiang took a PhD at Yale in Computer Science before working as a Columbia Research Scientist and spending 7 years at Yahoo! and Google. After a year at Airbnb, they co-founded Moveworks.
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