Senior Software Engineer, Data Skills
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Job Description
Senior Software Engineer with a focus on data and AI systems for Agentic AI. Collaborating on RAG pipelines and memory strategies for intelligent agents.
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.
- 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:
- 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.
- Experience building or maintaining workflow orchestration systems (e.g., LangGraph or similar node-based frameworks).
- Experience writing system prompts or designing prompt interactions for LLM applications.
- Experience evaluating or testing LLM systems.
- Understanding of data pipelines and document processing for AI systems.
- Familiarity with AWS environments and tools such as AWS CLI or STS.
- Understanding of security considerations in LLM systems, including prompt injection and input sanitization.
Benefits:
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
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