itx
SR Software Engineer (Data) - Remote, US
Rochester, New York, United States · Senior
Sponsorship not specified$96k-$129kDetected 2 hours ago
ReactNode.jsAWSData EngineeringLLMsRAGAgentic AILangGraphAI OrchestrationCybersecurityNegotiationLoad Testing
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26Unrated
Cap-exempt (no lottery)0
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Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70
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About the role
- Join Our Team as a Senior Software Engineer with Data Skills for Agentic AI Systems!
- In this role, you will work on RAG pipelines, agent workflows, and memory systems that allow AI agents to reason, retrieve information, and interact with complex tasks.
- Note: This opening is only available for candidates based in the United States of America.
Responsibilities
- 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, including hierarchical and state-machine-based execution.
- Design and implement agent memory systems, including short-term event memory and long-term memory strategies 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, datasets, and performance benchmarks to measure and improve LLM agent behavior, including ReAct-based agents.
- Build tools that allow LLM agents to interact with external systems and services.
- Collaborate closely with engineers across the team and provide guidance to less experienced developers when needed.
- Experience building RAG pipelines or ETL workflows for unstructured documents.
Requirements
- Experience working with LLM-based systems or AI-powered applications.
- Familiarity with agent architectures such as ReAct.
- Hands-on experience with workflow orchestration frameworks such as LangGraph or similar node-based systems.
- Experience implementing agent memory systems (e.g., AgentCore Memory API or similar), including both short-term and long-term memory strategies.
- Experience writing system prompts and designing prompt interactions for LLM applications, including intent handling.
- Experience evaluating and performance testing LLM agents, particularly within ReAct-style workflows.
- Ability to generate evaluation datasets and test scenarios for agent-based systems.
- Familiarity with AWS environments and tools such as AWS CLI and STS.
- Strong understanding of data pipelines and document processing for AI systems.
Nice to have
- Experience with LangGraph or other agent orchestration frameworks.
- Experience working with hierarchical state machines or complex workflow orchestration patterns.
- Experience designing evaluation frameworks or LLM benchmarking systems.
- Experience working with AI agent security concepts or threat modeling.
- ITX's Compensation Philosophy
- Equality in compensation has been our practice since ITX started, in 1997.
- ITX believes that market-based pay ensures fair and equitable compensation for our worldwide team members and pay that is based on the market, not on who has the best negotiation skills.
- How do our team members experience market-based pay at ITX?
Skills
- This opening is only available for candidates based in the United States of America.
Compensation
- ITX's Compensation Philosophy
Company info
- What We're Looking For:
This listing is sourced directly from itx's careers page and normalized into a canonical job model.