AI Research Systems Engineer

You build and maintain the agentic infrastructure that powers Knometrix AI intelligence services. You will work closely with our research team to translate intelligence requirements into reliable, scalable agent systems: designing orchestration flows, tuning model prompts, and ensuring data quality across the full processing pipeline. This is a role at the intersection of AI engineering and research methodology.

Responsibilities

• Design, build, and maintain agentic AI workflows for intelligence collection and synthesis
• Develop and refine prompt architectures for classification, clustering, and synthesis tasks
• Build and maintain source ingestion pipelines across news, social, review, and regulatory feeds
• Evaluate frontier model performance for specific research tasks and recommend capability improvements
• Instrument the system for quality monitoring: confidence scoring, anomaly detection, output auditing

Requirements

• Strong Python engineering: you write clean, maintainable production code
• Hands-on experience with LLM APIs, prompt engineering, and agentic frameworks
• Experience with data pipeline design and management at scale
• Understanding of NLP concepts: classification, entity recognition, sentiment analysis
• Curiosity about research methodology: you want to understand what good intelligence means, not just what the model output says
• Experience with frontier model evaluation and benchmarking

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