Gen AI Developer – Prompt Engineering

Coralogix is a modern, full-stack observability platform transforming how businesses process and understand their data. Our unique architecture powers in-stream analytics without reliance on expensive indexing or hot storage. We specialize in comprehensive monitoring of logs, metrics, trace and security events with features such as APM, RUM, SIEM, Kubernetes monitoring and more, all enhancing operational efficiency and reducing observability spend by up to 70%.

Coralogix is rebuilding the path to observability using a real-time streaming analytics pipeline that provides monitoring, visualization, and alerting capabilities without the burden of indexing.

By enabling users to define different data pipelines per use case, we provide deep Observability and Security insights, at an infinite scale, for less than half the cost.

Requirements:

• Minimum – 3 years of experience
• Collect and analyze data related to our current prompt performance/accuracy
• Enhance our natural language transation to Dataprime language using collected data
• Hands-on prompt engineer
• Orientation to programming languges
• Knowledge of language structure and construct
• Knowledge of type systems
• Knowledge of parse trees and ASTs
• Knowledge in Semantics
• Worked with closed AI envs and services like OpenAI
• Ability to work independently and as part of a team

Environment:

• Microservices
• OpenAI integration
• Proprietary DSL (Dataprime)

Tech Stack:

• Ops: AWS, Kubernetes, ArgoCD

Backend:

• Rust, Tokio
• PostgreSQL

Cultural Fit:

We’re seeking candidates who are hungry, humble, and smart. Coralogix fosters a culture of innovation and continuous learning, where team members are encouraged to challenge the status quo and contribute to our shared mission. If you thrive in dynamic environments and are eager to shape the future of observability solutions, we’d love to hear from you.