Jobs at Pragmatike

Build production-grade AI and machine learning security products using Go services and Python pipelines. Develop LLM-powered analysis, RAG, classification, structured extraction, and agentic AI capabilities; establish evaluation datasets, metrics, regression suites, and drift monitoring. Collaborate with security researchers to translate threats into actionable detections, and deploy cloud-native solutions using Docker, Kubernetes, and major cloud platforms.

Own the roadmap, requirements, prioritization, and launches for AI security platform areas such as cloud discovery, gateway security, agentic security, and forensics. Lead discovery with enterprise security stakeholders, translate needs into PRDs, partner with engineering and security research, define adoption and detection metrics, and support positioning and enablement. The role requires experience shipping B2B security or infrastructure products, technical fluency across cloud and AI systems, and daily use of AI-assisted workflows.

Build and maintain a React and TypeScript interface for an agentic security platform. Develop high-performance, data-intensive timelines, graphs, tables, filters, searches, dashboards, and policy management tools. Collaborate with Go backend and design teams through REST and gRPC-web APIs. Own frontend architecture, accessibility, testing, performance, design-system contributions, and AI-assisted development workflows.

Own and maintain end-user, administrator, API, deployment, integration, release, and in-product documentation for an AI security platform. Collaborate with Go engineers, product managers, Support, security researchers, and customers to document APIs, configurations, integrations, and code examples. Use docs-as-code workflows and AI tools to produce accurate content, validate technical details, maintain standards, and identify documentation gaps.

Build and operate production Go backend services for AI security products. Responsibilities include API and data model design, event-driven pipelines, cloud integrations, reliability engineering, testing, observability, CI/CD, Python tooling, and multi-tenant systems. Collaborate with AI engineers and security researchers on threat models and enforcement logic, while using AI coding assistants throughout development.

Build Go-based endpoint agents and backend services for AI and LLM security across Windows, macOS, and Linux. Responsibilities include endpoint detection, policy enforcement, fleet management, telemetry ingestion, health monitoring, performance optimization, cross-platform testing, code signing, release engineering, and production readiness. The role requires systems programming, concurrency, networking, distributed-service development, and effective use of AI-assisted coding tools.

Serve as primary HR partner for APAC, supporting full employee lifecycle, compliance with local labor laws, HRIS and payroll coordination, recruitment, performance cycles, employee relations, reporting HR metrics, and regional engagement initiatives.