Core Responsibilities:
- Technical Leadership: Lead and mentor developers, fostering a culture of innovation, quality, and continuous improvement.
- 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.
- 5+ years experience as a Senior or Lead Engineer 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.
Top Skills
What We Do
Safe Security is a pioneer in the “Cybersecurity and Digital Business Risk Quantification” (CRQ) space. It helps organizations measure and mitigate enterprise-wide cyber risk in real-time using it’s ML Enabled API-First SAFE Platform by aggregating automated signals across people, process and technology, both for 1st & 3rd Party to dynamically predict the breach likelihood (SAFE Score) & $$ Value at Risk of an organization
Headquartered in Palo Alto, Safe Security has over 200 customers worldwide including multiple Fortune 500 companies averaging an NPS of 73 in 2020.
Backed by John Chambers and senior executives from Softbank, Sequoia, PayPal, SAP, and McKinsey & Co., it was also one of the Top Contributors to the National Vulnerability Database(NVD) of the U.S. Government in 2019 and the ATT&CK MITRE Contributor in 2020.
The company, since 2018, has also been working with MIT in joint research for the development of their SAFE Scoring Algorithm. Safe Security has received several awards including the Morgan Stanley CTO Innovation Award.
