Software Development Engineer II - AI and Analytics
Safe security
Job Summary
SAFE Security is seeking a Software Development Engineer (SDE II) with expertise in Analytics and AI to build innovative solutions that predict and prevent cyber breaches. The role involves designing, building, and deploying scalable AI-driven analytics solutions using techniques like Retrieval-Augmented Generation (RAG) and AI agents. Responsibilities include architecting scalable microservices, integrating with cloud services (AWS Bedrock, Lambda, EC2, S3, RDS), evaluating AI models for latency, cost, and accuracy, ensuring code quality through reviews, and collaborating with product managers and stakeholders. The ideal candidate will have a Bachelor's or Master's degree in Computer Science or a related field with at least 2 years of software development experience, proficiency in Python, NodeJS, or Go, and strong hands-on experience with AI/ML technologies in production environments.
Must Have
- 2 years of software development experience.
- Expertise in Python, NodeJS, or Go.
- Hands-on experience with AI/ML, RAG, AI Agents.
- Deploy AI technologies into production.
- Collaborate with cross-functional teams.
- Design and build scalable AI solutions.
- Evaluate AI models for performance.
- Ensure high-quality code through reviews.
- Address complex technical challenges.
- Own features end-to-end.
Good to Have
- Familiarity with AWS Bedrock.
- Experience with Typescript and API frameworks (Express).
- Good understanding of SQL and NoSQL databases.
- Experience deploying containerized applications (Docker, Kubernetes, ECS).
- Knowledge of DevOps best practices and Infrastructure as Code (e.g., AWS CloudFormation).
- Exceptional leadership, communication, and mentoring skills.
Perks & Benefits
- Unlimited vacation policy
- High-trust work environment
- Commitment to continuous learning
Job Description
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.