Position Details

Type Full-Time

Experience lead

Exp. Years 3 to 8 years

Category AI & Machine Learning

About this role

AI Engineer focused on building and deploying AI-enabled workflows that connect enterprise systems, data sources, model APIs, and automation layers to drive AI-first enterprise solutions.

Key Responsibilities

Build and deploy AI-enabled internal workflows that connect enterprise systems, data sources, model APIs, and automation layers
Design and improve retrieval, prompting, tool-calling, and orchestration patterns for internal use cases
Leverage AI-assisted development to audit, review, and secure AI-generated code
Develop evaluation approaches for output quality, retrieval accuracy, latency, and failure modes
Lead problem formulation with stakeholders to translate needs into scalable AI solutions

Technical Overview

Designs and operationalizes LLM-based services, including prompt design, tool-calling, and orchestration; emphasizes data integration, AI observability, and production-grade deployment in cybersecurity contexts.

Ideal Candidate

The ideal candidate is a high-impact AI engineer with 3-8 years of experience in agentic AI, skilled in LLM-based workflows, retrieval-augmented generation, and enterprise data integration. They demonstrate hands-on production deployment capabilities and a strong ability to translate business problems into AI-enabled solutions within a cybersecurity context.

Must-Have Skills

3 to 8 years of Agentic AI relevant experienceExperience building or deploying applied AI systems in productionHands-on with one or more of: LLM APIsretrieval-augmented generationworkflow orchestrationagent or tool calling

Nice-to-Have Skills

Experience in enterprise-scale environments with security/privacy/complianceTelemetry or production monitoring for AI systemsGitHub contributions / open-source workExperience with AI tooling and signal-based learning

Tools & Platforms

LLM APIsretrieval-augmented generationworkflow orchestrationagent callingprompt designevaluation frameworksAI observability

Required Skills

Agentic AILLM APIsretrieval-augmented generationworkflow orchestrationtool callingprompt designevaluation frameworksAI observabilitydata integrationenterprise integration

Hard Skills

Agentic AILLM APIsretrieval-augmented generationworkflow orchestrationtool callingprompt designevaluation frameworksAI observabilitydata integrationenterprise integration

Soft Skills

Systems thinkingCross-functional collaborationProblem solvingCommunication

Industry & Role

Industry Cybersecurity

Job Function Design and operate enterprise AI workflows leveraging LLMs and AI tooling

Role Subtype AI Engineer

Tech Domains Python, Java, JavaScript, React, Node.js, SQL / PostgreSQL, Kubernetes, Docker

Keywords for Your Resume

AI EngineerEnterprise AI (Principal/Sr Principal/Distinguished)Enterprise AIAgentic AILLMretrieval-augmented generationworkflow orchestrationtool callingprompt designevaluation frameworksAI observabilitydata integrationenterprise integrationGitHubopen-sourcecloud platformsproduction AI

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AI Engineer, Enterprise AI (Principal/Sr. Principal/Distinguished)

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