5 months ago
Remote, United StatesEntry Level / Mid Level
Responsibilities
- Drive large, abstract engineering projects from initiation through completion by building consensus, delegating effectively, and coordinating stakeholders
- Design and build the AI layer powering autonomous detection, RAG-backed investigation, and auto-remediation workflows
- Develop and productionize LLMs, graph-based reasoning engines, and streaming feature pipelines operating on billions of security events
- Own evaluation and reliability through prompt libraries, fine-tuning, red-team testing, latency budgets, and fallback strategies
- Collaborate with Product, Detection Engineering, and Customer Success to develop robust ML- and rule-based detections from real-world attacker behavior
- Experiment with retrieval-augmented generation, tool-calling agents, and multimodal models using text, logs, and graphs
Requirements
- 1–3+ years of experience in software development and engineering production systems using Python, Go, Rust, or Java
- Deep knowledge of agentic systems design, including centralized or decentralized multi-agent system architectures
- Experience with graph structures and graph databases
- Hands-on experience building agents, orchestration frameworks such as LangChain/LangGraph or Agno AGI, and evaluation harnesses
- Deep understanding of microservices architecture, Docker, Kubernetes, and event-driven systems
- Strong API design fundamentals, including REST and gRPC, and knowledge of distributed systems
- Clear communication, collaborative problem-solving, consensus building, and experience guiding multi-stakeholder initiatives
- Prior cybersecurity experience with SIEM, EDR, SOAR, or MDR is preferred
- Experience driving high-impact engineering initiatives in high-growth startups or enterprise SaaS is preferred
- Familiarity with AWS, GCP, or Azure infrastructure security is preferred
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field
- Relevant AWS/GCP Professional Engineer, Kubernetes, or security-related certifications are preferred
Benefits
- Monday–Thursday onsite at one of the company’s locations, with work-from-home on Friday
- Competitive salary and benefits package
- Growth and development opportunities in AI, cybersecurity, and emerging technologies
- Opportunity to work with AI-driven cybersecurity technologies and Google SecOps
Categories
About TENEX.AI
TENEX.AI provides an AI-driven Managed Detection and Response (MDR) service that combines automated threat detection with 24/7 U.S.-based analysts for enterprises. It sells MDR subscriptions and related cybersecurity services delivered through its AI SOC platform. Founded in 2024 and headquartered in Sarasota, Florida, the privately held company reached Series B financing by 2026.