SDE IV – Backend

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November 26

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interface.ai

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Artificial Intelligence • Banking • Fintech

interface. ai is a company specializing in AI-driven solutions for the financial services industry. They offer advanced voice and chat AI technologies that enhance telephone banking experiences through voice biometrics and authentication solutions. Their generative AI is designed to integrate seamlessly with banking systems, automating call center operations and improving customer experience by providing secure, scalable AI solutions for financial services. interface. ai's platform is pre-built specifically for banks and credit unions, enabling significant enhancements in operational efficiency and customer engagement while driving revenue growth through personalized financial insights.

51 - 200 employees

🤖 Artificial Intelligence

🏦 Banking

💳 Fintech

📋 Description

• Architect, develop, and optimize scalable microservices and RESTful/GraphQL APIs for Interface’s conversational AI platform. • Implement and maintain complex workflows using event-driven architectures with technologies like Kafka, RabbitMQ, or AWS SNS/SQS. • Design and manage robust data models and database schemas using SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB) databases. • Conduct thorough code reviews, providing constructive feedback on code quality and adherence to coding standards while mentoring junior developers. • Collaborate with cross-functional teams to define technical requirements and deliver end-to-end features on cloud platforms (e.g., AWS, GCP, Azure). • Ensure system reliability by implementing monitoring, logging, and alerting solutions using tools like Prometheus, Grafana, or ELK Stack. • Drive adoption of CI/CD pipelines, containerization (e.g., Docker, Kubernetes), and infrastructure-as-code (e.g., Terraform, CloudFormation).

🎯 Requirements

• 7-10 years of experience in building and delivering complex, scalable technical products. • Deep expertise in at least one of the languages: Go, Java, JavaScript/TypeScript/Node.js, Python. • Extensive experience with distributed systems, low-latency applications, and microservices. • Proven track record with real-time interactions using technologies like web sockets, long-polling, and server-sent events. • Hands-on experience implementing security and data protection measures for fintech applications. • Strong advocate for Test-Driven Development (TDD) and unit testing. • Proficiency in advanced prompt engineering, including designing, optimizing, and integrating LLM prompts into complex workflows and production systems.

🏖️ Benefits

• Remote-first culture – Work from anywhere, with top-tier colleagues. • High ownership, high impact – Your work will define the future of banking. • Comprehensive Benefits – We take care of our people.