
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
We are seeking a skilled Generative AI Developer with over 3 years of experience and a strong background in prompt engineering. The ideal candidate will have hands-on experience with developing, tuning, and optimizing generative AI models, and possess a deep understanding of prompt design to maximize model performance.

Prompt Engineering: Craft and refine prompts to achieve accurate and contextually relevant responses from generative AI models. Majorly responsible for developing strategies to optimize prompt effectiveness and enhance model performance.
Data Handling: Prepare and preprocess datasets for training and evaluation of generative models. Utilize data augmentation techniques to improve model robustness.
Performance Optimization: Monitor and analyze model performance metrics. Implement techniques to improve response quality, reduce bias, and ensure relevance.
Collect and analyze data related to our current prompt performance/accuracy
Enhance our natural language transation to Dataprime language using collected data
Knowledge of language structure and construct, Type systems, parse trees and ASTs, Semantics
Worked with closed AI envs and services like OpenAI
Ability to work independently and as part of a team
Qualifications:

Experience: Minimum of 3 years of professional experience in developing and working with generative AI models and prompt engineering.
Technical Skills: Proficiency in Python and relevant libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers). Strong understanding of machine learning concepts and AI model architectures.
Prompt Engineering: Demonstrated expertise in designing effective prompts for generative models. Experience with prompt tuning, contextualization, and optimization.
Analytical Skills: Strong problem-solving abilities with a focus on model performance evaluation, metrics analysis, and iterative improvement.
Communication: Excellent verbal and written communication skills. Ability to explain complex technical concepts to non-technical stakeholders.
Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
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.

Coralogix is an equal opportunity employer and encourages applicants from all backgrounds to apply.

Remote Jobs at Nexthire

👨🏻‍💻 GenAI Developer (Prompt Engineering)