Applied AI Engineer, Agentic Systems

ShipBob, Inc.

Applied AI Engineer at ShipBob creating autonomous systems to improve logistics operations. Focusing on designing agentic workflows and operationalizing AI technology within the company.

Posted 5/9/2026contractRemote • 🇺🇸 United StatesJuniorWebsite

Tech Stack

Tools & technologies

JavaScript.NETPythonReactVue.js

About the role

Key responsibilities & impact

Architect Agentic Workflows: Design and implement autonomous agents capable of handling multi-step reasoning, tool-calling, and error recovery.
Operational Discovery: Embed with logistics and support teams to identify high-impact opportunities for agentic intervention.
End-to-End Ownership: Own the entire agent lifecycle: Discovery → Agent Architecture → Prompt Engineering/Fine-tuning → Hardening → Production Deployment.
Build for Reliability: Develop robust guardrails, evaluation frameworks, and logging systems to ensure agents perform predictably in a high-stakes supply chain environment.
Contribute to the 'Agent Hub': Document and publish reusable agent modules and toolsets to accelerate AI enablement across the entire organization.
Rapid Iteration: Bridge the gap between 'cool demo' and 'production tool' by shipping small, gathering feedback from domain experts, and iterating fast.

Requirements

What you’ll need

1–3 years of software engineering experience (or a standout portfolio of agentic projects)
Strong proficiency in Python and .NET
Deep understanding of modern agent architectures (e.g., ReAct, Plan-and-Execute)
Hands-on experience with LLM APIs (OpenAI, Anthropic)
Experience building retrieval pipelines (RAG)
Ability to build lightweight dashboards and interfaces (Vue.js/React)

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible working hours
Paid time off

ATS Keywords

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Hard Skills & Tools

Python.NETagent architecturesReActPlan-and-ExecuteLLM APIsOpenAIAnthropicretrieval pipelinesRAG

Soft Skills

end-to-end ownershiprapid iterationcollaborationfeedback gathering