AI Engineer: Production ML & Robotics Orchestrator

AutoStore System Inc.; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Comprehensive Medical, Dental, Vision

HSA with company contribution

Paid Time Off and holidays

401(k) with employer match

Educational assistance & mentorship

Life Insurance & Disability Insurance

Employee Assistance programs

Job summary

AutoStore is hiring an AI Engineer to integrate AI capabilities across engineering teams and enable cross-functional collaboration. You will focus on building AI agent systems, deploying models on cloud infrastructure, and optimizing for cost, latency, and scale.

The role requires 3–5 years of production ML/AI experience, plus a strong background in time-series forecasting and hard-tech environments. Join a global team shaping robot-enabled warehousing solutions.

Qualifications

• 3–5 years building and deploying ML or AI systems in production.
• Bachelor's degree in Computer Science, Engineering, or a related field required; Master's preferred.

Responsibilities

• Build and ship AI agent systems that connect to data sources and tools.
• Deploy and operate AI on cloud infrastructure, tuning cost and performance for production workloads.
• Apply optimization and ML algorithms to phases like routing and coordination.
• Build time-series models and forecasting for operational telemetry and anomaly detection.
• Deliver model outputs that interact with or control hardware under reliability constraints.

Skills

ML/AI systems

LLM agent development

Cloud deployment

Optimization algorithms

Time-series forecasting

Distributed teams

Education

Bachelor's degree in CS/Engineering

Job description

AutoStore is hiring an AI Engineer to integrate AI capabilities across engineering teams and enable cross-functional collaboration. You will focus on building AI agent systems, deploying models on cloud infrastructure, and optimizing for cost, latency, and scale.

The role requires 3–5 years of production ML/AI experience, plus a strong background in time-series forecasting and hard-tech environments. Join a global team shaping robot-enabled warehousing solutions.