Senior Software Engineer, Data

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🔥 0 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $96k - $129k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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ITX Corp.

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1997

🤖 Artificial Intelligence

🏢 Enterprise

Artificial Intelligence • Software • Enterprise

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 Retrieval-Augmented Generation (RAG) systems. • Support the development of agent-based architectures using reasoning and acting patterns. • Build and maintain agent workflows using node-based orchestration frameworks. • Design and implement agent memory systems. • 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. • Build tools that allow LLM agents to interact with external systems and services. • Apply best practices around guardrails, prompt security, and user-generated content. • Collaborate closely with engineers across the team.

🎯 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 (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. • Experience evaluating and performance testing LLM agents. • Ability to generate evaluation datasets and test scenarios for agent-based systems. • Understanding of guardrails and safety mechanisms for LLM and agent systems. • Familiarity with AWS environments and tools such as AWS CLI and STS. • Strong understanding of data pipelines and document processing for AI systems.

🏖️ Benefits

• Equality in compensation • Market-based pay • Regular compensation reviews • Automatic pay adjustments at least once a year • Fair treatment in compensation regardless of race, gender, disability, or age.