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About the Role
AutoStore is hiring an AI Engineer to support its rapidly growing Engineering team. This role involves working cross-functionally to enable engineering groups to build AI capabilities into their products and serving as a subject matter expert to internal teams. Ideal candidates have a background in ML engineering in a scaled environment.
Responsibilities
- Build and ship AI agent systems that connect to data sources and tools, including retrieval, API integration, and multi-step orchestration.
- Deploy and operate AI on cloud infrastructure, tuning cost, performance, and scaling tradeoffs for production workloads.
- Apply optimization and ML algorithms to hard operational domains such as robot fleet routing and coordination.
- Build time-series models and forecasting for operational telemetry, including anomaly detection and predictive analytics on sensor and equipment data.
- Deliver against physical systems with real reliability constraints, where model outputs drive or inform hardware behavior.
Requirements
- 3–5 years building and deploying ML or AI systems in production, not just research or prototyping.
- Bachelor's degree in Computer Science, Engineering, or a related field required; Master's preferred.
- Hands-on experience with LLM agent development: retrieval-augmented generation, tool and API integration, and multi-step orchestration frameworks.
- Experience deploying and operating models on cloud infrastructure, with a working understanding of cost, latency, and scaling tradeoffs.
- Applied background with optimization and/or ML algorithms on hard problems (routing, scheduling, coordination, or comparable).
- Time-series modeling and forecasting experience (anomaly detection, predictive analytics on sensor or telemetry data).
- Prior work in hard-tech or physical-systems environments where models run against real hardware and reliability constraints (preferred).
- Effective in distributed teams across time zones.
Skills
- AI
- ML Engineering
- LLM agent development
- Retrieval-augmented generation
- API integration
- Multi-step orchestration
- Cloud infrastructure deployment
- Optimization algorithms
- ML algorithms
- Time-series modeling
- Forecasting
- Anomaly detection
- Predictive analytics
Location
- Global
Work Type
- Full-time
Experience Level
- 3-5 years
Education Level
- Bachelor's degree in Computer Science, Engineering, or related field
- Master's degree preferred
Benefits
- Comprehensive Medical, Dental, and Vision plans
- Health Savings Account (HSA) with a company contribution
- Generous Paid Time Off including 12 holidays, paid exercise time, paid volunteer time, and paid parental leave plans
- Retirement 401(k) plan with employer match and discretionary profit sharing contribution
- Educational assistance and professional development programs including mentorship/coaching programs
- Group Life Insurance
- Voluntary Additional Life Insurance
- Disability Insurance
- Employee Assistance programs
About the Company
- AutoStore holds a vision to store and move things for everyone, everywhere.
- Founded in Norway, AutoStore has grown into a global technology company.
- AutoStore uses advanced software to automate and orchestrate order fulfillment.
- The company's goal is to ensure orders arrive faster than ever, with minimal environmental impact.
- AutoStore has more than 1600 systems in nearly 60 countries.
- The company continuously grows as a community of employees, partners, customers, suppliers, and connected technologies.
- Automation should make life easier, and by listening carefully to the community, AutoStore innovates to meet the industry’s most complex needs.
- With AutoStore™, brands gain speed, efficiency, improved workplaces, and more floor space.
- AutoStore – moving things forward.
Equal Opportunity
- AutoStore is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, pregnancy-related conditions, and lactation), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.