AI Engineer – Agentic AI & Cloud Discovery

About This Opportunity

We are representing a confidential cybersecurity organization that is building next-generation products to secure AI agents, LLM-powered applications, and the data they access. Our client's engineering organization is scaling rapidly, and we have an opening for an AI Engineer to turn AI and machine learning capabilities into reliable, production-grade security products.

This is a remote-first position based in the United States, requiring 4+ years of experience and fluent English. You'll be equally comfortable building production services in Go and developing LLM/ML pipelines in Python, with the ability to move quickly from experimentation to hardened production systems.

You'll join one of two workstreams:

• Agentic AI Forensics: Turn agent traces, prompts, tool calls, and security events into structured, explainable findings for security analysts using LLM reasoning, RAG, structured extraction, and rigorous evaluation.
• Cloud Discovery: Classify cloud resources and workloads to identify AI agents, model endpoints, and AI-enabled applications, while inferring their purpose and security risk using LLM/ML classification at scale.

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, and ship solutions that meet defined accuracy targets
• 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

What We're Looking For

Required Qualifications:

• 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 through offline evaluations, human review, regression suites, or similar approaches
• Understanding of AI agent architectures, including tool calling, multi-step planning, and common failure modes
• Experience with cloud-native deployment using Docker, Kubernetes, and AWS, GCP, or Azure
• Fluent English with strong written and verbal communication skills
• Comfortable using modern AI coding assistants - this is a must-have requirement
• Strong ownership and the ability to work independently in a remote-first, distributed environment

Nice to Have:

• Background in security analytics, SIEM/SOAR, or digital forensics
• Practical knowledge of major cloud provider APIs, IAM models, and resource inventory
• Experience with vector databases, embedding pipelines, or model fine-tuning for classification or extraction
• Familiarity with tracing AI applications and observability frameworks
• Previous experience in cybersecurity, security tooling, or trust and safety
• Experience introducing AI-assisted or agentic development workflows across engineering teams

How We Work With You

When you apply through Get A Job.ai, our talent team will review your profile and conduct an initial screening. If there's a strong match, we'll submit your candidacy to our client for consideration. During the interview process, you'll be asked about how you use AI in real-world software development, including the tools you use, how you validate their output, and where AI has changed the way you work.

Please apply exclusively through Get A Job.ai. Do not contact the client directly, as all applications must come through our recruiting process.

Pay

Compensation details will be discussed during the screening process with our recruiting team.

Equal Employment Opportunity: Get A Job.ai is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital status, pregnancy, race, religion or belief, sex, or sexual orientation.