Design and maintain ETL pipelines that process and classify unstructured data for Retrieval-Augmented Generation (RAG) systems.
Support the development of agent-based architectures using reasoning and acting patterns such as ReAct.
Build and maintain agent workflows using node-based orchestration frameworks such as LangGraph.
Implement agent memory strategies, including short-term event memory and long-term memory approaches such as summarization, semantic memory, episodic memory, and user preference storage.
Develop system prompts and intent-handling prompts that support reliable agent interactions.
Create evaluation tests and performance benchmarks to measure LLM agent performance.
Build tools that allow LLM agents to interact with external systems and services.
Apply best practices around prompt security, input sanitization, and safe handling of user-generated content.

Requirements

No specific requirements listed.

Benefits

Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

ETL pipelinesunstructured data processingagent-based architecturesReActnode-based orchestration frameworksLangGraphagent memory strategiesperformance benchmarksLLM agent performanceprompt security