5 months ago
Remote, United StatesSenior
Responsibilities
- Lead and own the architecture and delivery of technical components for complex projects.
- Design and build the AI layer powering autonomous detection, RAG-backed investigation, and auto-remediation workflows.
- Develop and productionize large-scale LLMs, graph-based reasoning engines, and streaming feature pipelines operating on billions of security events.
- Own AI evaluation and reliability, including prompt libraries, fine-tuning, red-team testing, latency budgets, and fallback strategies.
- Lead cross-functional initiatives with Product, Detection Engineering, and Customer Success to translate attacker behavior into ML and rule-based detections.
- Experiment with retrieval-augmented generation, tool-calling agents, and multimodal models using text, logs, and graphs.
- Mentor junior engineers and contribute to engineering best practices and architectural design reviews.
Requirements
- 7+ years of software development experience building production systems with Python, Go, Rust, or Java.
- Deep knowledge of agentic systems, including centralized or decentralized multi-agent system architectures.
- Experience with graph structures and graph databases.
- Hands-on experience building agents, orchestration frameworks, and evaluation harnesses.
- Deep understanding of microservices architecture, Docker, Kubernetes, and event-driven systems.
- Strong API design fundamentals, including REST and gRPC, and distributed-systems knowledge.
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field.
- 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 cloud infrastructure security is preferred.
- AWS or GCP Professional Engineer, Kubernetes, or security-related certifications are preferred.
Benefits
- Monday through Thursday onsite at one of the company’s locations, with work-from-home on Friday.
- Competitive salary and benefits package.
- Opportunities for growth and development in AI, cybersecurity, and emerging technologies.
- Opportunity to work with AI-driven cybersecurity technologies and Google SecOps solutions.
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.