Charm Security- Backend Engineer (AI-Powered Scam Prevention)

Description:

Charm Security is building the first Customer Security Platform that proactively protects people from scams and social engineering attacks. We combine real-time detection, behavioral insights, and AI-driven interventions to prevent harm before it happens.

We're looking for a creative Backend Engineer with a passion for developing our unique platform and helping build an exciting new product. If you're ready to lead, innovate, and grow - join us!

As a Senior Backend Developer, you'll play a crucial role in designing, developing, and maintaining the core backend services that power our AI-driven fraud prevention platform. You will:

• Design and build scalable, cloud-native backend services
• Develop and optimize data pipelines, storage systems, and APIs to process real-time fraud signals
• Build backend services for our core platform components including our conversation widget, co-pilot experience, and management portal with real-time communication, intelligent assistance, and comprehensive analytics capabilities
• Build and deploy AI agents using frameworks like LangChain and LangGraph for intelligent fraud detection workflows
• Architect and implement event-driven microservices to support large-scale data ingestion and analytics
• Collaborate with product managers, security researchers, and data scientists to deliver high-impact solutions
• Ensure high performance, scalability, and reliability of backend infrastructure
• Work with cloud-native technologies (GCP, Kubernetes, serverless frameworks) to deploy and manage services

• 5+ years of software engineering experience in backend development for large-scale SaaS or data-driven applications
• 5+ years of experience with Node.js or Python in production environments
• Strong expertise in backend technologies and modern API design
• Experience building data-intensive applications, including event-driven architectures, real-time processing, or batch pipelines
• Familiarity with cloud-native infrastructure (GCP/AWS, Kubernetes, serverless architectures)
• Experience working with databases (PostgreSQL, BigQuery, or NoSQL solutions)
• Strong problem-solving skills, a growth mindset, and a team-oriented approach

Nice to Have

• Experience with AI agent frameworks such as LangChain, LangGraph, or similar orchestration tools
• Knowledge of LLM integration patterns and multi-agent system architectures
• Experience in fraud prevention, cybersecurity, or risk systems
• Hands-on experience with stream processing frameworks (Kafka, Pub/Sub, Flink)
• Knowledge of CI/CD pipelines and DevOps best practices
• Familiarity with vector databases and RAG (Retrieval-Augmented Generation) implementations