Remote - Principal Software Engineer

10+ years of backend software engineering experience3+ years in a hands on technical leadership role (Principal / Tech Lead / Architect)Strong experience building systems end to end from scratch in a product environmentStrong 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 technologiesStrong product mindset and ability to connect technical decisions to business impactProven ability to own and drive initiatives independently in ambiguous environmentsExperience building or working on systems that integrate AI/LLM based capabilities into real world applicationsHands on experience using AI agents throughout the development lifecycle, with a deep understanding of their strengths, limitations, and best practicesSolid understanding of cloud environments and modern development practices (AWS/GCP/Azure)Strong communication skills and ability to collaborate effectively with senior stakeholdersNice to HaveHands 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 SDKsBackground 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] Requirements: Golang, Machine learning, Python, Java, LLM, AI Security, Machnine Learning, LangChain