AI Developer designing innovative AI solutions for Phytocontrol's food safety and environmental analysis. Collaborating with teams to deploy machine learning models and enhance data processes.
About the role
- Principal AI Engineer designing and optimizing AI systems at TENEX for advanced cybersecurity solutions. Mentoring teams and driving technical innovation in a hybrid setup.
Responsibilities
- 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.
- Mentor & grow a cohort of AI engineers; run design reviews, uphold code quality, and instill a security-first mindset.
- 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.
Requirements
- 10+ years of experience in software development
- Expertise in software engineering and architecture
- Deep knowledge of LLM architecture, prompt engineering, and Vector database workflows
- Hands-on experience building agents, orchestration frameworks, and evaluation harnesses
- Strong understanding of microservices architecture, containerization (Docker, Kubernetes), and event-driven systems
- Strong fundamentals in API design (REST/gRPC) and distributed systems
- Passion for cybersecurity and automation.
- 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.
Benefits
- Competitive salary
- A culture of growth and development
- Opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Vice President, Chief AI Architect at Pfizer responsible for defining enterprise AI architecture and governance. Collaborating across R&D, Manufacturing, and Commercial to enable AI breakthroughs.
Chief Engineer leading the design and build of API infrastructure and AI workflows at Wolters Kluwer. Overseeing platform architecture, engineering standards, and team performance in a hybrid role.
Junior AI Engineer developing intelligent systems for stakeholder monitoring. Collaborating on innovative AI solutions and transforming data into actionable insights while exposed to global challenges.
Junior AI Engineer developing AI solutions for TSC, enhancing stakeholder intelligence through advanced AI - native systems and real - world impact. Collaborating globally with a team for optimal performance.
Staff AI Engineer responsible for generative AI solutions for conversational products and operational efficiency at Stone Co. Engaging in technical leadership and collaboration between science and engineering.
Forward Deployed AI Engineer assisting enterprises with Adaptive Engine deployments for generative AI. Collaborating with technical teams to enhance customer success and model performance.
AI Engineer responsible for building and deploying fullstack AI features for clinical applications. Collaborate closely with product leads at Heidi to enhance healthcare delivery through technology.
AI Engineer developing innovative AI solutions for stakeholder intelligence at TSC. Designing data pipelines and optimizing ML models in a collaborative environment.
AI Engineer developing intelligent data pipelines and multi - agent workflows in Vietnam. Collaborating with the Singapore hub to deliver impactful stakeholder intelligence results.