Remote Senior Software Engineer - Full Stack

Description:

• Qualified is a platform designed for B2B companies worldwide, aiming to increase inbound website conversions using AI and automation.
• The platform includes features like Piper the AI SDR, live chat, chatbots, meeting scheduling, marketing offers, and actionable intent data.
• The company is focused on developing PipelineAI, an enterprise-grade SaaS platform powered by AI to revolutionize pipeline generation.
• The team excels at solving complex problems with innovative solutions and leverages technologies like Large Language Models (LLM) to create cutting-edge products.
• They follow agile principles, fostering a culture of flexibility and efficiency where engineers take ownership of projects from conception to launch.
• Technologies used include Ruby on Rails, PostgreSQL, React.js, and AWS to develop real-time AI-powered solutions for customers.

Requirements:

• 5+ years of experience in professional full-stack software development, with a recent focus on AI/ML technologies.
• Proficiency in programming languages such as Ruby on Rails, JavaScript, Python, or Go.
• Experience with object-oriented programming, systems design, and large-scale, low-latency systems.
• Familiarity with frontier-scale LLMs for developing applications in production environments is a plus.
• Strong software engineering practices, including coding, unit testing, code reviews, and design documentation.
• Bachelor's degree or higher in Computer Science or equivalent work experience.
• Passion for crafting innovative, user-centric solutions and staying at the cutting edge of applied AI.
• Ability to work with Agile methodologies and collaborate effectively with cross-functional teams.

Benefits:

• Base Compensation Range for US-based Employees: $170,000-$220,000.
• Eligibility for a yearly bonus and equity package.
• Salary and benefits vary by region outside the US.
• Opportunity to work on technically challenging problems and build exceptional products.
• Chance to integrate AI technologies into product offerings and deliver innovative features.
• Ownership of end-to-end delivery and success of features, maintaining high standards of engineering and code quality.
• Continuous growth of technical skills and mentorship opportunities within the team.