AI Engineer – Agentic AI & Cloud Discovery

New
P
PragmatikeCybersecurity AI
India, Remote-FirstFull-TimeMiddle
Salary not disclosed
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Job Details

Languages
Fluent English
Experience
4+ years
Required Skills
DockerPythonCloud ComputingKubernetesMachine LearningGoPrompt Engineering

Requirements

  • 4+ years of software engineering experience, including 2+ years shipping LLM- or ML-backed features to production.
  • Strong Go skills for production backend services.
  • 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 through offline evaluations, human review, or regression suites.
  • Understanding of AI agent architectures, including tool calling, MCP, and multi-step planning.
  • Experience with cloud-native deployment using Docker, Kubernetes, and AWS, GCP, or Azure.
  • Fluent English with strong written and verbal communication skills.
  • Proficiency with modern AI coding assistants such as Claude Code, Cursor, GitHub Copilot, or Codex.
  • Strong ownership and the ability to work independently in a remote-first, distributed environment.

Responsibilities

  • Design and build LLM-powered analysis and classification pipelines, then productionize them as Go services.
  • Prototype approaches in Python, including prompting strategies, RAG, structured extraction, and ML classifiers.
  • Define ground-truth datasets, evaluation metrics, and regression suites to continuously 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 to security teams.
  • Use AI-assisted development workflows to accelerate implementation, testing, debugging, and experimentation.
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