Software AI Engineer

Latitude; Atlanta, Northern (GA, KY); Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

Medical, Dental, and Vision plans

HSA with company contribution

Paid time off including holidays and p

401(k) with employer match

Educational assistance & mentorship

Life/Disability Insurance

Employee assistance program

Job summary

AutoStore is hiring an AI Engineer to support our rapidly growing Engineering team. You’ll work cross-functionally to enable engineering groups to build AI capabilities into their products while serving as a subject matter expert to internal teams. If you have a background in ML engineering in a scaled environment, we want to hear from you.

Build AI agent systems, deploy on cloud, and optimize costs and performance to meet reliability standards across hardware-backed systems.

Qualifications

• Bachelor's degree in CS, Engineering, or related field; Master's preferred.
• 3–5 years deploying ML/AI systems in production, not just research.
• Experience with LLM agents: retrieval-augmented generation, tooling, orchestration.
• Experience deploying models on cloud with cost/latency tradeoffs.
• Background in optimization or ML for routing, scheduling, coordination.
• Time-series modeling and forecasting on sensor/telemetry data.
• Background in hard-tech or physical-systems with real hardware constraints.
• Effective collaboration across distributed teams.

Responsibilities

• Build and ship AI agent systems connected to data sources and tools, including retrieval and orchestration.
• Deploy and operate AI on cloud infrastructure, tuning cost, performance, and scaling for production workloads.
• Apply optimization and ML algorithms to hard operational domains such as routing and coordination.
• Build time-series models and forecasting for operational telemetry, including anomaly detection.
• Deliver against physical systems with reliability constraints where outputs affect hardware.

Skills

ML in production

Bachelor's degree

Master's preferred

LLM agent development

Cloud deployment

Optimization algorithms

Time-series forecasting

Distributed teams

Education

Bachelor's in CS/Engineering

Master's degree

Job description

AutoStore holds a simple yet powerful vision: to store and move things for everyone, everywhere. Founded in Norway, we've grown into a global technology company. AutoStore uses advanced software to automate and orchestrate order fulfillment. Our goal is to ensure orders arrive faster than ever, with minimal environmental impact. That’s how we help brands exceed customer expectations.

We have more than 1600 systems in nearly 60 countries, and we grow continuously as a community of employees, partners, customers, suppliers, and connected technologies. Automation should make life easier, and by listening carefully to our community, we innovate to meet the industry’s most complex needs. With AutoStore, brands gain speed, efficiency, and improved workplaces. And much more floor space.

AutoStore - moving things forward.

The Role:

AutoStore is hiring an AI Engineer to support our rapidly growing Engineering team. In this role, you’ll work cross-functionally to enable engineering groups to build AI capabilities into their products while serving as a subject matter expert to internal teams. If you have a background in ML engineering in a scaled environment, we want to hear from you.

Key Tasks and 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 the 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.

Key Qualifications:

• 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.

We Offer:

AutoStore believes in taking care of employees and is dedicated to providing a supportive and rewarding work environment. Join us in our mission to store and move things for everyone, everywhere.

• 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 for all new parents
• Retirement 401(k) plan with employer match and discretionary profit sharing contribution
• Educational assistance and professional development programs including mentorship/coaching programs with external industry leaders
• Additional benefits include Group Life Insurance, Voluntary Additional Life Insurance, Disability Insurance, Employee Assistance programs, and more!

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.