Job description
interface.ai is the industry’s-leading specialized AI provider for banks and credit unions, serving over 100 financial institutions. The company’s integrated AI platform offers a unified banking experience through voice, chat, and employee-assisting solutions, enhanced by cutting-edge proprietary Generative AI.
Our mission is clear: to transform the banking experience so every consumer enjoys hyper-personalized, secure, and seamless interactions, while improving operational efficiencies and driving revenue growth.
interface.ai offers pre-trained, domain-specific AI solutions that are easy to integrate, scale, and manage, both in-branch and online. Combining this with deep industry expertise, interface.ai is the AI solution for banks and credit unions that want to deliver exceptional experiences and stay at the forefront of AI innovation.
Role – SDE II – Backend (Core Platform)
Location: India (Remote) Function: Engineering – Core Platform Reports to: Engineering Manager – Core Platform
About the Role
We are hiring for a Backend Engineer to join our Core Platform team. This team is responsible for designing and scaling the foundational systems that power all our AI-driven products—from secure authentication and configuration engines to core services like logging, feature management, and real-time orchestration.
You’ll work alongside experienced engineers to build modular, high-performance backend systems that are critical to uptime, compliance, and scalability across the company. This is a hands-on role ideal for engineers looking to grow their impact while working on production infrastructure used by every product team.
What You’ll Do
- Design and implement backend services that power cross-cutting features like knowledge, content, configuration, identity, access control, and audit.
- Write performant, secure, and testable code using js, Go, or Python
- Build and maintain APIs, service orchestration layers, and shared infrastructure modules
- Collaborate with platform, ML, and product teams to ensure backend systems are flexible, resilient, and developer-friendly
- Contribute to service monitoring, alerting, and production readiness practices across core systems
- Participate in code reviews, documentation, sprint planning, and internal platform adoption initiatives
What You’ll Bring
- Bachelor’s degree in Computer Science, Engineering, or a related field
- 2–4 years of backend engineering experience, ideally in platform or service-oriented roles
- Proficiency in at least two modern backend programming languages (Node.js, Go, Python, Java)
- Experience working with RESTful APIs, cloud infrastructure (AWS, GCP, etc.), and containerized deployments (Docker, Kubernetes)
- Understanding of service architecture, data modeling, and system design fundamentals
- Solid grasp of debugging, testing, and monitoring backend applications in production
Bonus Points:
- Exposure to platform engineering, dev tools, or internal infrastructure services
- Experience with infrastructure-as-code tools like Terraform or Pulumi
- Familiarity with observability stacks (e.g., Prometheus, Grafana, OpenTelemetry)
- Prior work in B2B SaaS, compliance-heavy, or AI-enabled product environments
Why Join Us?
- Build foundational systems that power every AI experience across the company
- Work closely with senior engineers and technical leadership in a high-ownership environment
- Contribute to a fast-moving, product-driven culture where platform thinking is a first-class priority
- Accelerate your growth in backend systems, distributed architecture, and infrastructure engineering
#LI-SS1 #LI-Remote
At interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person’s unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.
