Senior Software Engineer - Full Stack (LATAM)

Position Overview

• Location Type: Remote
• Job Type: Full-Time
• Salary: Not provided

Qualified offers the PipelineAI platform for B2B companies worldwide. With Piper, the AI SDR, it provides a new way to grow inbound pipeline using a single, powerful platform. Piper operates across both the website and email, engaging website visitors, capturing leads, and converting buyers into pipeline around the clock. Hundreds of leading brands, including Crunchbase, Asana, Box, and Grubhub, utilize Qualified to increase lead conversions, generate more meetings, and improve inbound pipeline efficiency.

Engineering at Qualified

Qualified is developing PipelineAI, an enterprise-grade SaaS platform powered by AI, aiming to revolutionize pipeline generation for customers. The team is small but powerful, focused on solving complex problems with innovative solutions using advanced technologies like Large Language Models (LLM). They create cutting-edge products that automatically identify, engage, and convert customer website visitors into immediate pipeline. Agile principles guide the team, fostering flexibility and efficiency, with engineers taking full ownership of projects from conception to launch, ensuring excellence in coding, testing, deployment, monitoring, and customer rollout.

Your Role - Senior Software Engineer

As a Senior Software Engineer on the Product Team, you’ll tackle technically challenging and ambiguous problems by building exceptional products and enhancing processes and technology. You’ll work on integrating LLMs, embeddings, and other AI technologies into product offerings, pushing boundaries to deliver innovative features and user experiences. The product team emphasizes rapid experimentation and iteration, and you’ll own the end-to-end delivery and success of features—from coding and testing to deployment, monitoring, and customer rollout—while maintaining high standards of engineering and code quality. You’ll also collaborate closely with customers, gathering feedback to continuously improve products.

Responsibilities

• Develop customer-focused applications by building new features, improving existing ones, and creating entirely new products.
• Utilize the latest advances in machine learning, LLMs, and other AI technologies to enhance products and deliver delightful user experiences.
• Collaborate closely with Product Managers, Product Designers, and Platform Engineers to ideate and develop mission-critical applications.
• Conduct rapid prototyping and iteration.

Technologies

• Ruby on Rails
• PostgreSQL
• React.js
• AWS
• Large Language Models (LLM)
• Embeddings