Engineering Manager

September 19

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interface.ai

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NLP • AI • ML • Chatbots • Artificial Intelligence

51 - 200

Description

• Lead a team of Backend, Front end and QA engineers in developing conversational AI products • Collaborate with product managers, designers, and other stakeholders to define technical requirements and ensure alignment with the company's goals • Oversee the entire product development process, from design to deployment, and ensure timely delivery of high-quality products • Provide technical guidance and mentorship to the engineering team • Manage the recruitment, hiring, and onboarding of new team members • Stay up-to-date with the latest trends and technologies in conversational AI and related fields • Ensure the engineering team follows best practices and adheres to the company's engineering standards • Collaborate with other technical teams to ensure seamless integration with other company products and services

Requirements

• Possess a strong sense of self-motivation and the ability to learn quickly. • Should have 10+ years of Industry experience • 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. • 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. • At least 3 years of experience delivering scalable, complex technical products in a startup environment. • Strong experience mentoring junior and senior developers in best practices and providing guidance on implementation strategies. • Expertise in JavaScript and Node.js, including hands-on experience with Node.js frameworks such as Express.js, Hapi.js, Koa.js, and NoSQL and Relational databases. • Proficiency in unit testing and Test-Driven Development (TDD), with hands-on experience in Mocha or other Javascript testing frameworks. • Strong understanding of real-time interactions (web sockets, long-polling, server-sent events) and experience designing and implementing low-latency, high-availability, and performance applications. • Knowledge of security and data protection best practices. • Experience working in an agile team environment and proficiency with code versioning tools such as Git. • Technical capabilities to guide and unblock team members, and ensure the successful delivery of complex technical products. • Preferred experience in developing Enterprise SaaS products.