Full-Stack AI Software Engineer - Austin, TX

Trend Micro, a global cybersecurity leader, helps make the world safe for exchanging digital information across enterprises, governments, and consumers.

Fueled by decades of security expertise, global threat research, and continuous innovation, Trend harnesses AI to protect organizations and individuals across clouds, networks, devices, and endpoints.

The Trend Vision One™ enterprise cybersecurity platform accelerates proactive security outcomes by predicting and preventing threats across the entire digital estate and environments like AWS, Google, Microsoft, and NVIDIA.

Proactive security starts here.

Location: Based out of our Austin, TX office and requires in-office presence three days a week.

Trend Micro is seeking highly skilled Full-Stack AI Engineer to join our dynamic team. In this role, you will leverage cutting‑edge AI technologies to build, deploy, and optimize intelligent security solutions for our strategic enterprise customers. You'll work across the entire technology stack, from frontend interfaces to backend AI systems, while partnering closely with development, product, and customer success teams to deliver seamless integration and ongoing support.

We're looking for bold, inventive full-stack developers who have embraced AI to elevate their development practices and create intelligent applications. You'll build responsive web interfaces, develop robust APIs and microservices, and deploy scalable cloud‑native applications, all while incorporating AI agents, intelligent workflows, and AIOps/MLOps practices into your development process. Beyond AI integration skills, we seek candidates with advanced AI expertise including model evaluation, fine‑tuning, and training to optimize performance for security‑specific use cases.

This role requires excellent communication skills as you'll interact with customers to understand their technical requirements, present web‑based solutions, and guide implementation strategies. May require occasional travel to customer sites across North America.

• Analyze complex customer environments and data workflows to design AI‑driven security architectures tailored to their unique risk profiles and operational needs
• Lead end‑to‑end deployment of AI‑powered solutions, including model integration, inference‑pipeline customization, and advanced configuration of intelligent security systems.
• Engineer and orchestrate Trend Micro AI and cybersecurity technologies into scalable, optimized solution stacks that enhance threat detection, automation, and overall system efficacy.
• Rapidly prototype, train, and deploy AI models and automation workflows to address evolving customer challenges, leveraging both classical ML and modern generative AI techniques.
• Collaborate with engineering leads to refine deployment methodologies and contribute to product roadmaps.
• Continuously research emerging AI, ML, and cybersecurity trends, applying new techniques and innovations to drive superior customer outcomes and maintain a competitive technology edge.

• Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or related fields.
• 6+ years of software engineering experience, with proven customer‑facing deployments.
• Full‑stack development proficiency (e.g., JavaScript/Type Script with React; backend in Node.js, Python, Go, or Java).
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Proficiency with AI‑integrated IDEs (e.g., Claude Code, VS Code with Copilot).
• Effectively prompt LLMs using efficient prompting techniques to accelerate boilerplate reduction, refactoring, and testing.
• Familiarity with the Model Context Protocol (MCP) for connecting LLMs to external data sources is a major plus.
• Knowledge of LLM model evaluation.
• Hands‑on experience with LLM/SLM fine‑tuning, including SFT, PEFT/LoRA, and alignment approaches such as RLHF.
• Familiarity with agentic frameworks such as Lang Chain, Auto Gen, or AWS Strands.
• Proven ability to deploy LLMs as containerized microservices using Docker, Kubernetes, or similar orchestration systems.
• Willingness to travel for client engagements or project…