Software Development Engineer II - AI and Analytics

Most boards and executives are currently flying blind when it comes to cyber risk. They are guessing. At Safe, we’ve built an AI-driven engine that finally gives the C-Suite a clear, quantified, and real-time view of their security posture. We don’t just provide data; we provide certainty. We are a $170M Series C-funded category leader. We don’t play in the mid-market; we operate at the highest levels of global enterprise. Today, we are proud to serve 10% of the Fortune 500, protecting global icons such as Apple, Netflix, AT&T, Verizon, and Victoria’s Secret. As we scale toward our next chapter, we are looking for high-performers who want to do the best work of their careers at the intersection of AI and Cybersecurity. The Culture Memo: Our Operating System Safe is not a typical corporate environment. We are a high-intensity, mission-driven team. We value builders who want to define a category and work alongside people who are equally committed to excellence. Extreme Ownership: We don’t do "not my job." We hire people who see a gap and own the solution from start to finish. The Elite Standard: We serve the most sophisticated companies on the planet. Our work must be bulletproof. Whether it’s a line of code or a sales deck, we aim for Tier-1 quality every time. Methodology & Rigor: We don’t wing it. From Force Management and MEDDICC in sales to data-driven sprints in engineering, we rely on proven frameworks to stay disciplined and predictable. Radical Candor: We move too fast for politics or sugar-coating. We value direct, honest feedback that helps us find the right answer quickly. The Series C Hustle: We have the stability of a well-funded leader but the heart of a startup. The Perks & Ownership: We want our team to feel like owners because they are owners. We trust our people to manage their results and their time. Meaningful Equity: Every "Safestar" is a shareholder. You aren’t just an employee; you are a partner in our success. Unlimited Leaves: We don’t believe in clock-watching. We offer unlimited leave because we trust you to take the time you need to recharge while staying committed to the mission. Comprehensive Benefits: We provide top-tier medical insurance and wellness benefits to ensure you and your family are well cared for. Career Trajectory: We are growing aggressively. For high-performers, the path for advancement moves at the speed of your ambition. We’re looking for a seasoned Software Development Engineer (SDE II) with deep expertise in Analytics and AI to join our high-impact engineering team. In this role, you’ll collaborate closely with Design, Product, and cross-functional stakeholders to build innovative analytics and AI-driven solutions that help predict and prevent cyber breaches. Core Responsibilities:

AI & Analytics Development: Design, build, and deploy scalable AI-driven analytics solutions, leveraging advanced AI techniques, including Retrieval-Augmented Generation (RAG), AI agents, and foundational models.

Architecture: Collaborate with cross-functional teams to architect scalable, secure, and performant AI-driven microservices.

Cloud and AI Integration: Utilize cloud services (primarily AWS Bedrock, Lambda, EC2, S3, RDS) to develop efficient, robust, and scalable solutions.

Model Evaluation: Implement and evaluate various AI models (e.g., OpenAI, Anthropic Claude, Amazon Titan), understanding trade-offs such as latency, cost, accuracy, and scalability.

Code Quality: Ensure high-quality code through rigorous code reviews and continuous improvement processes.

Problem Solving: Address complex technical challenges, identify root causes, and provide effective solutions.

Cross-team Collaboration: Work closely with product managers, designers, and stakeholders to align technical solutions with business goals.

Essential Skills/ Qualifications/ Experience:

Bachelor’s or Master's degree in Computer Science, Engineering, or a related field.

Minimum of 3-5 years of experience in software development roles, with expertise in Python, NodeJS, or Go.

Strong hands-on experience with AI/ML, including Retrieval-Augmented Generation (RAG), AI Agents, and deploying these technologies into production environments.

Familiarity with AWS Bedrock and its AI model hosting ecosystem is highly advantageous.

Experience with Typescript and API frameworks (Express) preferred.

Good understanding of SQL and NoSQL databases.

Demonstrable experience deploying scalable solutions in cloud environments (AWS preferred).

Proficient in deploying containerized applications (Docker, Kubernetes, ECS).

Knowledge of DevOps best practices and Infrastructure as Code (e.g., AWS CloudFormation) is beneficial.

Exceptional leadership, communication, and mentoring skills.

Proven capability to own features end-to-end in an agile, fast-paced environment.