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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML II Engineer - **Company:** Tenex Corporation - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Computing Security, Cyber Security, Distributed Systems, Graph Database, Intrusion Detection and Prevention, Python (Programming Language), Security Information and Event Management, Software Engineering, Retrieval-Augmented Generation, Multi-Agent Systems, Containerization, Kubernetes, Information Technology, Docker, Security Orchestration, Automation & Response, Programming Languages, Microservices - **Published:** June 9, 2026 - **Apply:** https://www.builtincolorado.com/job/ai-ml-engineer-ii/9654958 ## About the Role * Core Engineering: 3-5 years of experience in software development, engineering production systems using modern programming languages (Python, Go, Rust, or Java). * Agentic Systems: Deep knowledge of agentic systems design, such as Centralized and/or Decentralized MAS (Multi-Agent Systems) architectures. * Graph Architectures: Solid understanding of Graph structures and specifically graph databases. * Orchestration Frameworks: Hands-on experience building agents, orchestration frameworks (LangChain/LangGraph, Agno AGI, or custom), and evaluation harnesses. * Distributed Systems: Deep understanding of microservices architecture, containerization (Docker, Kubernetes), and event-driven systems. * APIs: Strong fundamentals in API design (REST/gRPC) and distributed systems. Soft Skills * Communication: Clear, concise communication skills and a bias for collaborative problem-solving. * Leadership Alignment: Proven track record of gathering consensus and guiding multi-stakeholder initiatives through uncertain boundaries. * Analytical Rigor: Strong problem-solving and analytical skills. Nice-to-have * Domain Background: Prior work in cybersecurity (SIEM, EDR, SOAR, or MDR). * Startup Mentality: Background driving high-impact engineering initiatives in high-growth startups or enterprise SaaS. * Cloud Infrastructure: Familiarity with cloud infrastructure security (AWS, GCP, or Azure). Education & Certifications * Bachelor's or Master's degree in Computer Science, Engineering, or a related field. * Relevant certifications (AWS/GCP Professional Engineer, Kubernetes, or security-related credentials) are a plus., If you're passionate about combining cybersecurity expertise with artificial intelligence and have experience with advanced multi-agent architectures, we encourage you to apply! ## Description Remote Hiring Remotely in USA Mid level Remote Hiring Remotely in USA Mid level Design, develop, and productionize scalable AI systems for autonomous threat detection and response. Build LLM-based reasoning engines, graph-based analytics, streaming feature pipelines, orchestration frameworks, and evaluation/reliability tooling. Collaborate with product, detection engineering, and customer teams to translate attacker behavior into robust ML and rule-based detections. The summary above was generated by AI, * Project Execution: Ability to drive and deliver technical components of complex projects. This means communicating effectively to align on requirements, executing on high-quality code, and collaborating with senior engineers and stakeholders throughout the development lifecycle. * AI Layer Engineering: Design & build the AI layer that powers autonomous detection, RAG-backed investigation, and auto-remediation workflows. * Productionize Reasoning Engines: Develop and productionize large-scale LLMs, graph-based reasoning engines, and streaming feature pipelines that operate on billions of security events. * Evaluation & Reliability: Own evaluation & reliability-from prompt libraries and fine-tuning to red-team testing, latency budgets, and fallback strategies. * Cross-Functional Collaboration: Partner tightly with Product, Detection Engineering, and Customer Success to translate real-world attacker behavior into robust ML and rule-based detections. * Push the Frontier: Experiment with retrieval-augmented generation, tool-calling agents, and multi-modal models (text + logs + graphs) to keep defenders decisively ahead. ## Related Videos - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [AX is the only Experience that Matters](https://www.wearedevelopers.com/videos/1404-ax-is-the-only-experience-that-matters) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Agentic AI: building autonomous systems for developers](https://www.wearedevelopers.com/videos/100034-agentic-ai-building-autonomous-systems-for-developers) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Got AI ideas but no money? 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