Software AI Engineer

AutoStore

$110K — $130K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3–5 years of experience in building and deploying ML or AI systems in production environments.
  • Bachelor's degree in Computer Science, Engineering, or related fields; Master's preferred.
  • Hands-on experience with LLM agent development for multi-step orchestration.
  • Familiarity with deploying models on cloud infrastructure, understanding cost and performance tradeoffs.
  • Background in optimization and ML algorithms for complex operational challenges.
  • Experience in time-series modeling and predictive analytics for sensor data.
  • Prior work in hard-tech or physical-systems settings where models interact with real hardware.

Responsibilities

  • Build and ship AI agent systems integrating data sources and tools.
  • Deploy and manage AI systems on cloud infrastructure, optimizing for cost and performance.
  • Apply optimization and ML algorithms to complex operational issues like robot coordination.
  • Develop time-series models for forecasting and anomaly detection in operational data.
  • Ensure model outputs reliably inform hardware behavior in physical systems.

Benefits

  • Comprehensive Medical, Dental, and Vision plans.
  • Health Savings Account (HSA) with company contributions.
  • Generous Paid Time Off including holidays and parental leave.
  • 401(k) plan with employer match and profit sharing.
  • Educational assistance and professional development opportunities.
Full Job Description

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:

  • 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! 

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