Join us in building the future of AI-driven security automation! We're looking for an AI Engineer with hands-on experience in LLMs, agentic AI, and cloud-native systems to power the next generation of intelligent automation platforms.

Responsibilities :

- Build and deploy LLM-powered and agentic AI workflows for real-world security use cases.

- Design data pipelines and scalable infrastructure with AWS, MongoDB, and OpenSearch.

- Collaborate with security and engineering teams to deliver autonomous security automation.

- Drive innovation in applied AI/ML with a focus on real-world cybersecurity challenges.

Requirements:

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

- Expertise in developing and maintaining GenAI workflows, including fine-tuning LLMs, embedding and vector databases, RAG workflows, and prompt engineering techniques.

- Strong proficiency in programming languages like Python, . NET, and experience with cloud environments (AWS, Azure, GCP).

- Experience with containerization (Docker), orchestration (Kubernetes), and data engineering (MongoDB, OpenSearch).

- Strong analytical, problem-solving, and critical thinking abilities.

- Excellent communication skills to articulate complex technical concepts.

- A degree in Computer Science, Engineering, Information Security, or a related field.

- Nice to have: Background in Cybersecurity, SOAR, SIEM, or threat automation.