Applied AI Engineer

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Logo of ShipBob, Inc.

ShipBob, Inc.

501 - 1000 employees

Founded 2014

🛍️ eCommerce

☁️ SaaS

💰 $200M Series E on 2021-06

eCommerce • Logistics • SaaS

ShipBob, Inc. is a comprehensive 3PL (third-party logistics) service provider specializing in e-commerce order fulfillment. They offer a full stack fulfillment platform with OMS, IMS, RMS, ERP, and analytics to automate and streamline fulfillment processes. With a focus on omnichannel and B2B capabilities, ShipBob assists businesses in selling across online and in-person channels while offering services like inventory management, customization for unique unboxing experiences, and end-to-end managed freight. Their global network enables efficient 2-day shipping across the continental US and facilitates global expansion with fulfillment centers in multiple countries. Additionally, ShipBob integrates with popular eCommerce platforms like Shopify and Amazon, supporting a wide range of industries including health, beauty, and apparel. Their technology-driven approach enhances supply chain automation, providing reliable and transparent logistics solutions worldwide.

📋 Description

• 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

• You think like a founder, thrive in ambiguity, and are excited to challenge assumptions to deliver impactful solutions. • Agentic Expertise: Deep understanding of modern agent architectures (e.g., ReAct, Plan-and-Execute) and orchestration frameworks (e.g., LangGraph, CrewAI, or Semantic Kernel). • Engineering Rigor: 1–3 years of software engineering experience (or a standout portfolio of agentic projects) with strong proficiency in Python and .NET. • LLM Proficiency: Hands-on experience with LLM APIs (OpenAI, Anthropic) and a proven ability to translate raw model outputs into structured, deterministic actions. • Systems Thinking: Experience building retrieval pipelines (RAG), working with vector databases, and designing clean APIs that agents can easily consume. • Full-Stack Mindset: Ability to build the lightweight dashboards and interfaces (Vue.js/React) necessary for humans to interact with and monitor your agents. • Bias for Action: You prefer a working prototype over a long slide deck. You are comfortable challenging assumptions to deliver impactful, automated outcomes.

🏖️ Benefits

• We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying. • Diversity of experience and skills combined with passion is a key to innovation and excellence; therefore, we encourage people from all backgrounds to apply to our positions. • At ShipBob, every full-time employee gets access to our best-in-class AI and productivity tools from Day 1 at no cost. This isn't a pilot or a perk for select teams. It's standard for everyone. • We believe innovation isn't owned by one department. Whether you're in Talent, Operations, Finance, Engineering, or Customer Success, we expect you to ask: how can this be done better, faster, or smarter? These tools are our investment in your ability to find those answers.

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