Senior Engineer - AI-Driven Workflows

RADICL Defense

Boulder (CO)

Hybrid

USD 145,000 - 185,000

Full time

3 days ago
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Benefits offered by this job

Health, dental, and vision benefits
401K with company match
Equity grant

Job summary

RADICL Defense is hiring a Senior Engineer focused on AI-driven workflows and intelligent automation. You will architect automated incident response, agentic workflow orchestration, and deterministic automation pipelines to scale security operations.

Work with LLMs, AI platforms, and data feeds to drive autonomous security actions. The role emphasizes building end-to-end automated intelligence processing, real-time streaming workflows, and multi-modal data integration, with AWS Bedrock and other

Qualifications

  • 3+ years implementing production AI workflows, preferably with large language models or agent systems.
  • Experience with AI safety considerations and prompt engineering is a plus.
  • Strong background in designing reliable, scalable systems using queues and stream processing.

Responsibilities

  • Design and build intelligent case management systems that triage security incidents and automate response actions.
  • Develop agent systems using LLMs to autonomously reason about security data and execute investigations.
  • Create event-driven, deterministic automation pipelines for scalable incident processing.

Skills

AI/ML systems
LLM integration
Go and Python
Event-driven architecture
Security domain knowledge

Tools

Kafka
Elasticsearch/OpenSearch
PostgreSQL
LangChain

Job description

About this position

About RADICL

As the leading provider of Cybersecurity-as-a-Service (CSaaS), RADICL is revolutionizing advanced cyberthreat protection for small and medium-sized businesses (SMBs) in the U.S. Defense Industrial Base (DIB) and other regulated industries. No longer should SMBs be satisfied with lack luster solutions delivering lack luster protection. RADICL is ushering in a new era of turn-key and affordable cyberthreat protection via its AI-powered virtual SOC platform that allows human and digital agents to quickly and seamlessly become SMBs’ day-to-day compliance and security operations team.

RADICL’s turn-key CSaaS offering uniquely combines compliance management with AI and expert-driven 24/7 security operations. We guide customers to regulatory and best practice adherence with standards like CMMC and NIST CSF while also delivering 24/7 threat monitoring, deep-spectrum™ threat hunting, incident response, vulnerability management, and security awareness training.

With RADICL, customers can stay mission focused, confident their front, rear, and flank are protected, affordably and without compromise.

If you’re excited about working with industry experts to help SMBs focus on growing their businesses without the constant worry of security and compliance risks, we invite you to join us in our mission to protect American businesses and drive innovation in cybersecurity.

About the role

RADICL is seeking a Senior Engineer to focus on AI-driven workflows and intelligent automation systems . You'll architect and build the next generation of automated incident response capabilities powered by advanced AI systems. This role is entirely focused on automation and workflow orchestration - you'll create intelligent systems that automatically process security data, generate insights, and execute response actions without direct human interaction in the critical path.

You’ll work on automated case management systems that combine large language models, threat intelligence, entity attribution analytics, and automated reasoning to accelerate incident response. Your work will directly impact how our platform automatically processes threats, correlates entity relationships, and executes response workflows at scale. Your focus will be on automated intelligence and case processing systems that consume security data feeds to drive autonomous security operations.

If building AI systems that enhance human decision-making in high-stakes security environments excites you, RADICL is seeking high-performing, motivated individuals to join our mission. As an early member, you will work closely alongside an experienced founding team. You will work with the latest AI/ML technologies and cybersecurity platforms. You will have a significant impact on the growth of an innovative cybersecurity offering in the SMB space. You will receive an outsized equity grant and realize the life-changing experience of building a company.

If the above excites you, RADICL Defense is seeking high performing, motivated individuals to join our mission.As an early member, you will work closely alongside an experienced founding team and realize the life-changing experience of building a company. You will work with the latest technologies in software, cybersecurity, and cloud and will have a significant impact on the formation of our platform and offering.

About You You enjoy fast-paced environments, bring a positive attitude, and excel at getting things done. You enjoy being part of a high performing team and are also able to self-direct and self-start. You consider yourself to be top tier talent and are eager to help others raise their game. You enjoy working with customers, are an excellent communicator, and able to engage and interact with people of various backgrounds and skill levels. You want your work to have meaning, to be important. You want to be part of creating something great. As a RADICL Senior Engineer - AI-Driven Workflows, you will:

  • 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

Your skillset/experience should include:

  • AI/ML systems experience 3+ years implementing production AI workflows, preferably with large language models, agent systems, or intelligent automation platforms
  • LLM integration Hands-on experience with GPT, Claude, or similar models; understanding of prompt engineering, fine-tuning, and AI safety considerations
  • Event-driven architecture Strong background in designing reliable, scalable systems using message queues (Kafka), stream processing, and asynchronous workflows
  • Go and Python proficiency Experience building high-performance backend services in Go and AI/ML pipelines in Python; familiarity with frameworks like LangChain, LlamaIndex, or similar
  • Security domain knowledge Understanding of automated incident response workflows, entity relationship modeling, threat attribution methodologies, and cybersecurity operations
  • Data systems Experience with Elasticsearch/OpenSearch, PostgreSQL, and handling large-scale security data processing and analysis
  • Deterministic system design Ability to build reliable, testable systems that incorporate AI feedback while maintaining predictable behavior and auditability
  • API design Experience designing RESTful APIs and real-time interfaces (WebSockets, SSE) for automated AI workflow systems and data processing pipelines
  • Cloud platforms AWS experience, particularly with Bedrock, Lambda, ECS, and other AI/ML services
  • Workflow automation Understanding of business process automation, rule engines, and creating configurable, repeatable workflows
  • Testing AI systems Experience with testing strategies for AI-powered applications, including prompt testing, model validation, and regression detection
Nice to have:
  • MLOps experience with model deployment, monitoring, and lifecycle management
  • SOAR platform experience (Phantom, Demisto, etc.) or security orchestration background
  • Threat intelligence experience with automated IoC enrichment, entity correlation, MISP, STIX/TAXII, or threat attribution analytics
  • React/TypeScript for building AI-powered user interfaces
  • Vector databases and semantic search for security data correlation
  • Graph databases or knowledge representation for threat modeling

About the Workplace At RADICL, we prioritize our culture and believe the strongest teams are built through daily, side-by-side collaboration and experiential sharing. We also value individual freedom and flexibility. For this reason, we have a hybrid work model. As a team, we are in office M/W/Th with work-from-home on Tuesdays and Fridays. For remote positions, periodic travel to Boulder will be expected to participate in company events and meaningful side-by-side collaboration opportunities.

RADICL offices are in downtown Boulder, Colorado with easy-to-access employee parking provided by the company. We offer comprehensive, competitive benefits including health, dental, and vision as well as 401K and a responsible PTO plan .

We encourage motivated, talented, mission-oriented, and fun people to apply. Let’s do this!

The pay range for this role is:

145,000 - 185,000 USD per year(Boulder, CO)

Salary Information

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