Applied AI Engineer, Agentic Systems
New
Remote in these states:AL,AZ, CA, CO,FL, GA, KS, KY, IA, ID, IL, IN,LA,MA, ME, MI,MN, MO, NC, NH, NJ, NV, NY, OH,OK,OR, PA, RI, SC, TN, TX,UT,VA, VT, WA, WIFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 1–3 years of software engineering experience
- Required Skills
- PythonVue.Js.NETReact
Requirements
- Deep understanding of modern agent architectures (e.g., ReAct, Plan-and-Execute).
- Proficiency with orchestration frameworks such as LangGraph, CrewAI, or Semantic Kernel.
- 1–3 years of software engineering experience or a standout portfolio of agentic projects.
- Strong proficiency in Python and .NET.
- Hands-on experience with LLM APIs (OpenAI, Anthropic).
- Experience building retrieval pipelines (RAG) and working with vector databases.
- Ability to build dashboards and interfaces using Vue.js or React.
- Experience designing clean APIs for agent consumption.
- Strong systems thinking and ability to translate model outputs into structured actions.
- Bias for action and ability to thrive in ambiguous, fast-paced environments.
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.
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