Applied AI Engineer, Agentic Systems
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Job Description
Applied AI Engineer at ShipBob creating autonomous systems to improve logistics operations. Focusing on designing agentic workflows and operationalizing AI technology within the company.
Responsibilities:
- 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:
- 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:
- Health insurance
- 401(k) matching
- Flexible working hours
- Paid time off
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