Remote - Principal Software Engineer

• 10+ years of backend software engineering experience
• 3+ years in a hands on technical leadership role (Principal / Tech Lead / Architect)
• Strong experience building systems end to end from scratch in a product environment
• Strong hands on experience with a modern programming language (Go preferred; experience with Java or Python is also valuable), and the ability to quickly adapt to new languages and technologies
• Strong product mindset and ability to connect technical decisions to business impact
• Proven ability to own and drive initiatives independently in ambiguous environments
• Experience building or working on systems that integrate AI/LLM based capabilities into real world applications
• Hands on experience using AI agents throughout the development lifecycle, with a deep understanding of their strengths, limitations, and best practices
• Solid understanding of cloud environments and modern development practices (AWS/GCP/Azure)
• Strong communication skills and ability to collaborate effectively with senior stakeholders

Nice to have:

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

• Design and build solutions from scratch, taking full ownership from idea to production
• Develop backend systems, leveraging and customizing AI agents, and extend solutions with simple frontend components when needed
• Leverage AI agents across all stages of development: research, design, coding, and testing to improve speed and quality
• Drive independent research and lead development in new, ambiguous domains, shaping innovative products where standards are still evolving
• Act as a technical leader and key decision maker, owning critical architectural and design choices
• Build and evolve backend architectures, extending traditional microservices with AI/LLM-based capabilities to create advanced security solutions
• Collaborate closely with security researchers, data scientists, and product managers to turn ideas into production ready solutions