About SafetyKit
AI solutions for risk and compliance challenges
Key Highlights
- Headquartered in San Francisco, California
- Utilizes large language models for risk management
- Focus on compliance solutions for various industries
- Small team size of 1-10 employees
SafetyKit, headquartered in San Francisco, California, leverages advanced large language models to address risk and compliance challenges for prominent companies across various industries. With a focus on enhancing operational safety and regulatory adherence, SafetyKit is rapidly gaining traction in...
🎁 Benefits
Employees at SafetyKit enjoy flexible remote work options, competitive salaries, and a supportive environment that encourages innovation and creativit...
🌟 Culture
SafetyKit fosters a culture of collaboration and agility, emphasizing the importance of leveraging AI/ML technologies to solve complex problems while ...
Backend Engineer • Mid-Level
Skills & Technologies
Overview
SafetyKit is hiring a Backend Engineer to build scalable infrastructure for their enterprise B2B SaaS platform. You'll work with AWS Serverless products and TypeScript to design high-performance systems. This position requires experience in backend engineering and a passion for AI technologies.
Job Description
Who you are
You have a strong background in backend engineering and are passionate about building scalable infrastructure for enterprise applications. With experience in AWS Serverless products, you understand how to leverage technologies like Lambda, Step Functions, and RDS Aurora to create efficient systems. You are proficient in TypeScript and have a basic understanding of Python, allowing you to adapt to various technical challenges. Your curiosity drives you to explore the intricacies of language models and their applications in real-world scenarios. You take ownership of your work and are committed to delivering high-quality solutions that meet customer needs. You thrive in collaborative environments, mentoring teammates and leading technical discussions to drive best practices across the organization.
What you'll do
In this role, you will design and build scalable, high-performance infrastructure that supports the needs of our enterprise customers. You will create architectures that enable both engineers and AI models to quickly develop, test, and deploy application code. Your responsibilities will include establishing reliable monitoring, logging, and alerting systems to ensure platform stability and performance. You will collaborate closely with AI and product teams to translate complex requirements into elegant technical solutions. As a mentor, you will guide your teammates in adopting engineering best practices, including code reviews, testing strategies, and thorough documentation. Your work will help us move faster and more efficiently, leveraging code generation models to enhance productivity.
What we offer
At SafetyKit, we are committed to building a culture that values innovation and collaboration. We offer competitive compensation and opportunities for professional growth within a dynamic team. You will have the chance to work on cutting-edge technologies in the AI space, contributing to projects that have a meaningful impact on our customers. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.
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