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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