Principal Software Engineer (AI)

TL;DR

Principal Software Engineer (AI): Designing and building the next generation of AI-native application security solutions with an accent on end-to-end system ownership and AI agent integration. Focus on extending microservices with LLM capabilities to protect codebases from emerging AI risks like prompt injection and data leakage.

Location: Remote (Poland)

Company

hirify.global is an AI-native AppSec platform helping global enterprises secure software from open source, custom code, and AI-generated components.

What you will do

• Design and build AI-powered security solutions from scratch, taking full ownership from idea to production.
• Develop backend systems and customize AI agents, extending functionality with frontend components where necessary.
• Integrate AI agents across the development lifecycle (research, design, coding, and testing) to improve speed and quality.
• Lead technical research in ambiguous domains to shape the direction of innovative AI security products.
• Define critical architectural choices and evolve microservices with AI/LLM capabilities to create advanced security solutions.
• Collaborate with security researchers, data scientists, and product managers to turn ideas into production-ready solutions.

Requirements

• 10+ years of backend software engineering experience.
• 3+ years in a hands-on technical leadership role (Principal, Tech Lead, or Architect).
• Proficiency in a modern programming language (Go preferred; Java or Python are valuable).
• Experience integrating AI/LLM capabilities into real-world applications.
• Proven ability to drive initiatives independently in ambiguous, evolving environments.
• Strong understanding of cloud environments (AWS, GCP, or Azure).

Nice to have

• Hands-on experience developing, tuning, or customizing LLM-based solutions beyond standard APIs.
• Familiarity with AI security challenges such as prompt injection, model leakage, and adversarial attacks.
• Experience with machine learning workflows (training, deployment, inference) and tools like LangChain, Hugging Face, or OpenAI SDKs.
• Background in application security, cloud security, or DevSecOps.

Culture & Benefits

• Collaborative, empowering workplace built on respect, trust, and growth.
• Commitment to learning and flexibility that empowers employees to do their best work.
• Opportunity to define standards in a new and evolving domain of AI application security.