[Remote] Senior AI/ML Engineer
Note: The job is a remote job and is open to candidates in USA. TENEX.AI is an AI-native, automation-first Managed Detection and Response provider focused on enhancing cybersecurity through advanced solutions. As a Senior AI/ML Engineer, you will be responsible for designing and optimizing scalable AI systems while collaborating with engineering teams to implement innovative cybersecurity solutions.
Responsibilities
- Lead and own the architecture and delivery of technical components of complex projects
- Design & build the AI layer that powers autonomous detection, RAG-backed investigation, and auto-remediation workflows
- Develop and productionize large-scale LLMs, graph-based reasoning engines, and streaming feature pipelines that operate on billions of security events
- Own evaluation & reliability—from prompt libraries and fine-tuning to red-team testing, latency budgets, and fallback strategies
- Lead cross-functional initiatives, partnering with Product, Detection Engineering, and Customer Success to translate real-world attacker behavior into robust ML and rule-based detections
- Experiment with retrieval-augmented generation, tool-calling agents, and multi-modal models (text + logs + graphs) to keep defenders decisively ahead
- Provide technical mentorship to junior engineers, foster engineering best practices, and contribute to architectural design reviews
Skills
- 7+ years of experience in software development, engineering production systems using modern programming languages (Python, Go, Rust, or Java)
- Deep knowledge of agentic systems design, such as Centralized and/or Decentralized MAS (Multi-Agent Systems) architectures
- Solid understanding of Graph structures and specifically graph databases
- Hands-on experience building agents, orchestration frameworks (LangChain/LangGraph, Agno AGI, or custom), and evaluation harnesses
- Deep understanding of microservices architecture, containerization (Docker, Kubernetes), and event-driven systems
- Strong fundamentals in API design (REST/gRPC) and distributed systems
- Clear, concise communication skills and a bias for collaborative problem-solving
- Proven track record of gathering consensus and guiding multi-stakeholder initiatives through uncertain boundaries
- Strong problem-solving and analytical skills
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Prior work in cybersecurity (SIEM, EDR, SOAR, or MDR)
- Background driving high-impact engineering initiatives in high-growth startups or enterprise SaaS
- Familiarity with cloud infrastructure security (AWS, GCP, or Azure)
- Relevant certifications (AWS/GCP Professional Engineer, Kubernetes, or security-related credentials) are a plus
Benefits
- Competitive salary and benefits package.
- A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies.
Company Overview