AI Engineer – Agentic AI & Cloud Discovery

Overview

AI Engineer focused on agentic AI forensics and cloud discovery for enterprise cybersecurity products. You will build LLM/ML pipelines and productionize them as Go services for security analysts and security teams.

What you'll do

• Design and build LLM-powered analysis and classification pipelines, then productionize them as Go services.
• Prototype in Python prompting strategies, RAG, structured extraction, and ML classifiers, and meet defined accuracy targets.
• Define ground-truth datasets, evaluation metrics, and regression suites to measure and improve model quality.
• Monitor model quality and drift in production and build processes to identify and address degradation.
• Collaborate with security researchers to translate attack patterns and risk signals into detection and summarization logic.
• Integrate AI-powered capabilities with event, storage, and UI layers to surface actionable results.
• Use AI-assisted development workflows to accelerate implementation, testing, debugging, and experimentation.

What you'll need

• 4+ years of software engineering experience, including 2+ years shipping LLM- or ML-backed features to production.
• Strong Go skills for production backend services and strong Python skills for experimentation and data pipelines.
• Hands-on experience with LLM APIs, prompt engineering, structured outputs, and RAG.
• Experience evaluating LLM/ML systems via offline evaluations, human review, regression suites, or similar approaches.
• Understanding of AI agent architectures including tool calling and multi-step planning with common failure modes.
• Experience with cloud-native deployment using Docker, Kubernetes, and AWS/GCP/Azure.
• Fluent English with strong written and verbal communication skills.

Details

• Location: India (Remote-first), Full-Time; Start date: November 2026.