- Architect, design, and implement mission critical projects end-to-end with high quality and speed.
- Actively contribute to the evolution and improvement of interface's Conversational AI platform
- Stay up-to-date with the latest trends and technologies in conversational AI and related fields
- Develop and enhance your engineering skills by working on diverse and complex technical challenges, driving innovation and finding creative solutions.
- Collaborate closely with CTO and other Engineering leads to drive best development practices within the team
- Possess a strong sense of self-motivation and the ability to learn quickly.
- Embrace a growth mindset and demonstrate emotional maturity in all interactions.
- Passionate about the possibilities of AI in the banking sector.
- Have a proven track record of success in a startup environment with 5 to 30 employees.
- Exceptional problem-solving abilities and a proactive approach to identifying ways to improve solutions.
- Ability to work in a fast-paced environment while managing multiple priorities.
- Proven track record of 10+ years in delivering scalable, complex technical products with at least 3+ years of experience working in startups building products from scratch
- Good knowledge of distributed technologies, low-latency, and highly scalable systems
- Expertise in JavaScript and , including hands-on experience with frameworks such as , , , and NoSQL and Relational databases.
- Strong understanding and hands-on experience of unit testing and Test-Driven Development (TDD)
- Hands-on experience in developing applications using microservices, container technologies, and container management systems such as Kubernetes
- Strong understanding of systems using real-time interactions (web sockets, long-polling, server-sent events)
- Hands-on experience in implementing security and data protection
- Excellent written and verbal communication skills, including the ability to write detailed technical documents.
- Experience working with React and Python (Bonus)
- Experience working with AI Models (Bonus)
- Compensation is expected to be between $170,000 - $210,000. Exact compensation may vary based on skills and location.
- Remote First Policy
- Medical/Dental/Vision Insurance
- PTO & Holidays
- Life Insurance
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Staff Software Engineer, Backend - San Francisco, United States - Interface AI
Description
Job Description
Job Descriptionis a leading Conversational AI SaaS company focused on providing cutting-edge solutions to the financial services industry. We serve close to 100 financial institutions today. We are one of the fastest-growing AI + financial technology companies in the industry, and we have grown 1800% in the last one year and recently featured as one of the top 100 fastest-growing fintech companies in Silicon Valley. Our mission is to empower every financial institution to scale efficiently and help its customers achieve financial wellness.
Our core technology is built 100% in-house with several breakthroughs in Natural Language Understanding. Our parser is built based on zero-shot learning that helps us to launch industry-specific IVA that can achieve over 90% accuracy on Day-1. We are 160+ people strong with employees spread across India and US locations.
What You Will Do
What You Will Bring
Compensation
What We Offer
At , 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 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 and are committed to ensuring that our hiring process is inclusive and accessible.