Senior Software Engineer, Data

Job not on LinkedIn

🕒 July 31

🗽 New York – Remote

🗽 New York – Remote

💵 $96k - $129k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ITX Corp.

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1997

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

ITX Corp. is a full-service custom software partner that has been a transformative player in software since 1997. They specialize in software product strategy, architecture and security, user research and design, and data science and artificial intelligence. ITX collaborates closely with clients to solve major software product challenges and employs AI and machine learning to enhance decision-making and business success. Their work spans various industries, including financial services, civic and social services, insurance services, and eCommerce, ensuring functionality, compliance, and security. ITX is committed to accessibility, demonstrating technological and organizational maturity through SOC 2 Type II compliance and adherence to web accessibility guidelines.

📋 Description

• Design and maintain ETL pipelines that process and classify unstructured data for 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 • Design and implement agent memory systems, including short-term event memory and long-term memory strategies • Develop system prompts and intent-handling prompts that support reliable agent interactions • Create evaluation tests, datasets, and performance benchmarks for LLM agent behavior • Build tools that allow LLM agents to interact with external systems and services • Apply best practices around guardrails, prompt security, input sanitization, and safe handling of user-generated content • Collaborate closely with engineers and provide guidance to less experienced developers when needed

🎯 Requirements

• Experience building RAG pipelines or ETL workflows for unstructured documents • 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, including both short-term and long-term memory strategies • Experience writing system prompts and designing prompt interactions for LLM applications • Experience evaluating and performance testing LLM agents • Ability to generate evaluation datasets and test scenarios for agent-based systems • Understanding of mapping user utterances to intents using RAG or LLM-based approaches • Understanding of guardrails and safety mechanisms for LLM and agent systems • Understanding of agent-specific threat vectors, including prompt injection, tool misuse, and unsafe memory access • Familiarity with AWS environments and tools such as AWS CLI and STS • Strong understanding of data pipelines and document processing for AI systems

🏖️ Benefits

• Market-based pay adjustments at least once a year • Pay reviews based on market data