About the Role We're looking for a Full Stack Software Engineer who thrives in dynamic environments and loves building scalable, secure, and high-performance applications. In this role, you'll play a key part in designing and developing both the frontend and backend of our AI cybersecurity platform, working closely with cross-functional teams to deliver products that make a real impact. You'll be at the forefront of solving complex technical problems, from creating intuitive user experiences to building robust APIs and scalable services that support our AI-driven security solutions. What You'll Do End-to-End Development: Design, develop, and maintain scalable full-stack applications, including robust backend services and intuitive frontend interfaces. Backend Engineering: Build and optimize APIs and microservices using Golang and Python to support AI-powered security tools. Frontend Development: Create dynamic, user-friendly interfaces with React , ensuring seamless interaction with our AI platform. Troubleshoot & Optimize: Identify, debug, and resolve performance issues across the entire stack to ensure system reliability and efficiency. Collaborate & Lead: Work closely with product managers, AI engineers, and other stakeholders, participating in code reviews and contributing to architectural decisions. Innovate in a Fast-Paced Environment: Thrive in an agile, fast-moving environment where youll have the autonomy to identify impactful work and shape the future of the platform. Continuous Learning: Embrace a growth mindset - experiment with new technologies, seek feedback, and continuously improve both your skills and the systems you build. What We're Looking For Technical Expertise: Bachelors degree in Computer Science or equivalent practical experience. 3+ years of software development experience, with strong knowledge of data structures, algorithms, and system design. Full Stack Proficiency: Frontend: Strong proficiency in JavaScript and TypeScript, with hands-on experience in building modern web applications using React. Backend: Solid experience with Golang and Python for API development and microservices architecture. Databases: Strong knowledge of both SQL and NoSQL databases for data modeling and optimization. Cloud & DevOps Skills: Proficient with containerization technologies like Docker and orchestration tools such as Kubernetes. Familiarity with cloud platforms and CI/CD pipelines is a plus. Mindset: A problem solver who thrives in fast-paced, ambiguous environments. Strong sense of ownership with a passion for building high-quality, scalable software. Excellent collaboration and communication skills.
About the Role We are looking for a Senior AI/ML Engineer to help us build advanced AI cybersecurity solutions. This role is pivotal in developing machine learning models and systems that leverage the latest advancements in AI to protect against evolving cyber threats. Youll thrive in this role if you’re driven by curiosity, energized by complex problems, and eager to make a real-world impact in an environment where your ideas and contributions matter. What You’ll Do Innovate AI Security: Design and implement solutions that integrate fine-tuning, prompt engineering, and model optimization, specifically tailored for AI-driven cybersecurity applications. Build ML Pipelines: Develop end-to-end machine learning workflows to automate model training, evaluation, and deployment in production environments. Collaborate Across Teams: Partner with engineers, data scientists, and stakeholders to conduct design and code reviews, ensuring best practices are applied across technologies. Thrive in Dynamic Environments: Embrace ambiguity, identify high-impact opportunities, and play a key role in defining the future of AI security within the company. Own Your Work: Take initiative, experiment boldly, seek feedback, and continuously improve both your skills and the systems you build. What We’re Looking For Technical Expertise: Bachelor’s degree in Computer Science or equivalent practical experience. 8+ years of software engineering experience, with at least 4 years focused on building production-grade machine learning systems. Strong proficiency in Python for ML development. ML & Data Skills: Hands-on experience with pre-training and fine-tuning large language models (LLMs), including cutting-edge generative AI models. Create tools and techniques for testing the resilience of AI systems against various attack vectors. Solid background in data processing, feature engineering, and handling large-scale datasets. Mindset: A problem-solver who thrives in fast-paced, unstructured environments. Strong sense of ownership with a growth mindset, open to experimentation and continuous learning. Excellent communication and collaboration skills to work effectively across diverse teams.