We're building the future of AI-driven security automation and are looking for a hands-on AI Engineer who can design, deploy, and scale intelligent automation systems. If you love working on LLMs, agentic AI, and cloud-native platforms, this role is for you.

Responsibilities :

- Build and productionize LLM-powered and agentic AI workflows for real-world security automation.

- Design data pipelines and scalable infra using AWS, MongoDB, and OpenSearch.

- Partner with security and engineering teams to deliver autonomous security automation solutions.

- Push the boundaries of applied AI/ML with a focus on cybersecurity use cases.

Requirements :

- 4+ years of software development, with 1+ years in applied AI/ML engineering.

- Hands-on expertise in GenAI workflows : fine-tuning LLMs, embeddings, vector DBs, RAG, and prompt engineering.

- Strong coding skills in Python, .NET, and experience with AWS / Azure / GCP.

- Experience with Docker, Kubernetes, and data systems (MongoDB, OpenSearch).

- Strong problem-solving mindset and ability to communicate complex ideas simply.

- Degree in CS, Engineering, InfoSec, or related field.

- Bonus : Background in Cybersecurity, SOAR, SIEM, or Threat Automation.