Software Development Engineer III - AI and Analytics

Most boards and executives are currently flying blind when it comes to cyber risk. 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 are a $170M Series C-funded category leader serving 10% of the Fortune 500, protecting global icons such as Apple, Netflix, AT&T, Verizon, and Victoria's Secret.

We're looking for a seasoned Senior Software Development Engineer (SDE III) with deep expertise in building AI-driven analytics solutions.

Core Responsibilities

• Technical Leadership: Lead and mentor developers, fostering a culture of innovation, quality, and continuous improvement.
• AI and 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 (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, and Experience

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years experience as a Senior or Lead Engineer with expertise in Python, Node.js, 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.