Senior AI Automation Engineer - Incident Response

RADICL; Boulder, Northern (CO, KY); Hybrid; USD 145,000 - 185,000; Full time

Benefits offered by this job

Health insurance

Dental coverage

401K

Job summary

RADICL is building a next-generation AI-driven automation platform for cybersecurity in the SMB space. The Senior Engineer will design and implement automated incident response, orchestration of intelligent agent systems, and scalable AI-powered workflows.

You will work with Kafka, LLMs, and cloud AI services to accelerate autonomous security operations, reporting, and decision making. As an early member of the founding team, you will influence platform architecture, collaborate with experts,

Qualifications

• 3+ years implementing production AI workflows, preferably with large language models, agent systems, or intelligent automation platforms.
• Hands-on experience with GPT, Claude, or similar models; understanding of prompt engineering, fine-tuning, and AI safety considerations.
• Strong background in designing reliable, scalable systems using message queues (Kafka), stream processing, and asynchronous workflows.
• Experience building high-performance backend services in Go and AI/ML pipelines in Python; familiarity with LangChain, LlamaIndex, or similar.
• Understanding of automated incident response workflows, entity relationship modeling, threat attribution methodologies, and cybersecurity operations.
• Experience with Elasticsearch/OpenSearch, PostgreSQL, and handling large-scale security data processing and analysis.
• Ability to build reliable, testable systems that incorporate AI feedback while maintaining predictable behavior and auditability.
• Experience designing RESTful APIs and real-time interfaces (WebSockets, SSE) for automated AI workflow systems and data processing pipelines.
• AWS experience, particularly with Bedrock, Lambda, ECS, and other AI/ML services.
• Understanding of business process automation, rule engines, and creating configurable, repeatable workflows.
• Experience with testing strategies for AI-powered applications, including prompt testing, model validation, and regression detection.

Responsibilities

• Automated incident response — design and build intelligent case management systems that automatically triage security incidents, generate threat context reports, and execute response actions without human intervention in the critical path
• Agentic workflow orchestration — develop sophisticated agent systems using large language models (LLMs) that autonomously reason about security data, correlate threat patterns, and execute complex investigation workflows
• Deterministic automation pipelines — create reliable, event-driven systems that learn from AI feedback to improve decision-making, automate response actions, and ensure consistent incident processing at scale
• Automated intelligence processing — create systems that consume security data feeds, automatically enrich indicators of compromise (IoCs), correlate threat intelligence, and generate actionable insights without manual intervention
• Multi-modal data integration — develop systems that correlate structured security data, unstructured threat intelligence, and analyst feedback to continuously improve AI model performance and workflow reliability
• Real‑time streaming workflows — implement event-driven architectures using Kafka that process security alerts, enrich threat data, and trigger appropriate AI-driven responses in real-time
• LLM integration and optimization — work with AWS Bedrock, Azure OpenAI, and other AI platforms to optimize model selection, prompt engineering, and cost-effective AI operations at scale

Skills

AI/ML systems

Go and Python

Event-driven architecture

LLM integration

Security domain knowledge

Cloud platforms

Tools

Kafka

Elasticsearch/OpenSearch

PostgreSQL

LangChain / LlamaIndex

WebSockets / SSE

AWS Bedrock / Azure OpenAI

Job description

RADICL is building a next-generation AI-driven automation platform for cybersecurity in the SMB space. The Senior Engineer will design and implement automated incident response, orchestration of intelligent agent systems, and scalable AI-powered workflows.

You will work with Kafka, LLMs, and cloud AI services to accelerate autonomous security operations, reporting, and decision making. As an early member of the founding team, you will influence platform architecture, collaborate with experts,