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 Overview
We are looking for a Software Development Engineer II (SDE II) with 2–4 years of experience, including hands-on involvement in at least one AI/ML/NLP-based project. This role focuses on building intelligent internal systems that leverage AI to automate complex workflows and enhance internal efficiencies.
You will be working at the intersection of backend engineering, machine learning, and platform design—crafting intelligent systems that support business operations at scale.
What You’ll Do
- Design, develop, and maintain AI-powered internal tools that drive automation and operational intelligence.
- Build and integrate machine learning or NLP components to extract insights and drive decision-making across systems.
- Collaborate cross-functionally with product, data, and operations teams to identify opportunities for AI-driven enhancements.
- Develop scalable services and APIs using JavaScript/Node.js, Python, or related technologies.
- Ensure systems are reliable, observable, and maintainable in production environments.
- Stay current with emerging trends in AI and apply best practices to real-world business problems.
What We’re Looking For
- 2–4 years of experience in software engineering with strong backend development skills.
- Proven experience working on at least one AI, ML, or NLP-based application or system.
- Proficiency in JavaScript (Node.js) and scripting languages such as Python.
- Solid understanding of machine learning workflows, NLP libraries (e.g., spaCy, HuggingFace, NLTK), or LLM integrations.
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools like Docker/Kubernetes.
- Good understanding of software engineering fundamentals, system design, and application lifecycle.
- Excellent analytical and debugging skills, with a problem-solving mindset.
- Experience with version control (Git) and CI/CD pipelines.
- Strong verbal and written communication skills; ability to work effectively in cross-functional teams.
Nice to Have
- Exposure to infrastructure-as-code, observability tools, or performance tuning.
- Experience with cloud-native services (e.g., AWS Lambda, S3, SQS, DynamoDB).
- Prior experience in startups or high-growth environments.
- Knowledge of financial services or familiarity with core banking systems (a plus, not required).
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.
