About the job
Please Note: Do NOT send emails/connection requests as it will result in AUTOMATIC REJECTION to ensure fair hiring policy (NO EXCEPTIONS). Apply here directly on. Company Description Sentrilite is a cutting-edge runtime observability and security platform designed for cloud-native and hybrid infrastructures across AWS, Azure, GCP, and on-premise environments. Sentrilite’s AI-powered insights help security and DevOps teams respond more rapidly and effectively to security incidents. With features like one-command deployment and detection-as-code functionality, Sentrilite is revolutionizing how organizations maintain infrastructure security and operational efficiency. We are looking for a Python GenAI Engineer to design and implement AI-driven insights and analysis within the Sentrilite platform. You will work on systems that transform low-level system telemetry and security alerts into actionable intelligence, summaries, and recommendations using modern AI and LLM techniques. Required Skills • Strong Python programming • Experience with Generative AI / LLMs • Experience with frameworks such as: • LangChain • LlamaIndex • OpenAI APIs or similar LLM APIs • Experience processing structured event data • Experience building backend services and APIs • Understanding of prompt engineering • Experience with vector databases / embeddings Why join us Sentrilite is building a modern platform for runtime security and infrastructure observability, helping teams detect threats and understand system behavior in real time. You'll be working on deep Linux internals, high-volume telemetry, and reliability engineering challenges that sit at the intersection of security, infrastructure, and observability.
Requirements
- Python Programming
- Generative AI
- LLMs
- Event Data Processing
- Backend Services
- APIs
Preferred Technologies
- Python Programming
- Generative AI
- LLMs
- Event Data Processing
- Backend Services
- APIs
About the company
Sentrilite is a cutting-edge runtime observability and security platform designed for cloud-native and hybrid infrastructures across AWS, Azure, GCP, and on-premise environments. It aims to revolutionize how organizations maintain infrastructure security and operational efficiency.
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