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Software Development Engineer II - AI and Analytics

On site Engineering
Added
19 days ago
Location
Type
Full time
Salary
Not Specified

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Related skills

python nodejs go aws express

At SAFE Security, our mission is bold and ambitious:

We Will Build CyberAGI— a super-specialized system of intelligence that autonomously predicts, detects, and remediates threats. This isn’t just a vision—it’s the future we’re building every day, with the best minds in AI, cybersecurity, and risk. At SAFE, we empower individuals and teams with the freedom and responsibility to align their goals, ensuring we all move towards this goal together.

We operate with radical transparency, autonomy, and accountability—there’s no room for brilliant jerks. We embrace a culture-first approach, offering an unlimited vacation policy, a high-trust work environment, and a commitment to continuous learning. For us, Culture is Our Strategy—check out ourCulture Memoto dive deeper into what makes SAFE unique.

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 2 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.

    • Additional Information

    If you’re passionate about cyber risk, thrive in a fast-paced environment, and want to be part of a team that’s redefining security—

    we want to hear from you!

     🚀

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