5 months ago
Remote, United StatesMid Level
Responsibilities
- Drive and deliver technical components of complex projects through requirements alignment, high-quality coding, and collaboration with senior engineers and stakeholders.
- 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 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 convert attacker behavior into robust ML and rule-based detections.
- Experiment with retrieval-augmented generation, tool-calling agents, and multimodal models using text, logs, and graphs.
Requirements
- 3–5 years of experience in software development and engineering production systems.
- Experience with Python, Go, Rust, or Java.
- Deep knowledge of agentic systems design, including centralized or decentralized multi-agent system architectures.
- Understanding of graph structures and graph databases.
- Hands-on experience with 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 understanding of distributed systems.
- Clear communication, collaborative problem-solving, consensus-building, and multi-stakeholder initiative leadership skills.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Relevant cybersecurity, cloud, Kubernetes, or security certifications are preferred.
- Prior cybersecurity experience with SIEM, EDR, SOAR, or MDR, startup or enterprise SaaS experience, and familiarity with AWS, GCP, or Azure are preferred.
Benefits
- Monday through Thursday onsite at one of the company’s locations, with work-from-home on Fridays.
- 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.