Staff Engineer – Core Platform

November 3

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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 and Build Distributed Systems: Design microservice-based architectures that enable scalability, low latency, and fault isolation for AI-driven features. • Optimize System Performance: Own performance at the platform level — from network I/O and API design to database indexing and caching strategies. • Enable AI Integrations: Work closely with LLM engineers to design APIs and data pipelines supporting RAG, embeddings, and model-inference use cases. • Design Resilient Data Infrastructure: Implement streaming and async systems (Kafka, Pulsar, or similar) to handle high-volume event traffic. • Drive Engineering Quality: Establish patterns for clean code, contracts, testing, and documentation. Lead architecture and code reviews across pods. • Mentor and Coach: Elevate senior engineers through structured mentorship, design walkthroughs, and technical guidance. • Champion Evolutionary Architecture: Build for change — advocate for modular, observable, and testable systems that can evolve with business needs. • Improve Platform Resilience: Implement retry, backoff, rate-limiting, and circuit-breaker patterns to ensure uptime and reliability at scale. • Collaborate Cross-Functionally: Work with AI, data, DevOps, and product teams to define shared contracts, SLAs, and infrastructure standards.

🎯 Requirements

• 8+ years of experience in backend or platform engineering, including 2+ years in high-scale B2C or distributed systems environments. • Deep understanding of scalability, consistency, concurrency control, and fault tolerance. • Proven track record designing systems with strict SLA and sub-second response times. • Strong experience building, deploying, and maintaining service-oriented architectures with APIs, event streams, and async messaging. • Hands-on experience with Weaviate, Pinecone, Qdrant, FAISS, or similar; strong grasp of RAG patterns and semantic retrieval. • Expertise in Go, Rust, Java, or Python, and familiarity with modern frameworks (gRPC, GraphQL, REST). • Solid understanding of SQL/NoSQL databases (PostgreSQL, Cassandra, DynamoDB) and caching systems (Redis, Memcached). • Experience designing with telemetry, distributed tracing, chaos testing, and monitoring (Prometheus, OpenTelemetry). • Passion for clean code, automated testing, CI/CD, and maintainability. • Experience mentoring teams, enforcing code quality standards, and elevating design practices.

🏖️ Benefits

• Inclusivity and welcoming environment • Commitment to diversity and respect for unique perspectives