Python GenAI Engineer – Cybersecurity

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 Linkedin. If you are a good fit, we will reach out to you.

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. This role combines

cybersecurity, data processing, and generative AI engineering.

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.