Description
Engineering at Qualified
At Qualified, we are developing PipelineAI, an enterprise-grade SaaS platform powered by AI, with the goal of revolutionizing pipeline generation for our customers. Our small yet powerful team excels at solving complex problems with innovative solutions. By leveraging advanced technologies like Large Language Models (LLM), we create cutting-edge products that automatically identify, engage, and convert our customer’s most valuable website visitors into immediate pipeline. Guided by agile principles, we cultivate a culture of flexibility and efficiency, where engineers take complete ownership of their projects from conception to launch, ensuring excellence in coding, testing, deployment, monitoring, and customer rollout.
Dedicated to high standards, we are fully cloud-native, utilizing trusted tools and technologies such as Ruby on Rails, PostgreSQL, React.js, and AWS. Our mission is to develop real-time AI-powered solutions that are straightforward and effective, providing exceptional value to our customers and driving our organization's success.
Your role
As a key member of the Platform Engineering team, you will construct and maintain the critical systems that form the backbone of our operations. You will integrate LLMs, embeddings, and other AI technologies into our platform, enabling innovative product features and exceptional user experiences. Your role is crucial in ensuring these systems are robust and capable of supporting complex, real-time customer interactions. With a commitment to end-to-end ownership, you will significantly shape the future of our product, directly influencing our ability to meet the evolving needs of our customers.
Your Responsibilities
- Develop and maintain scalable, high-performance backend systems foundational to our product's functionality.
- Implement cutting-edge AI algorithms and architectures, and scale them for production within our platform.
- Continuously improve system performance, identify bottlenecks, and deploy optimizations for smooth operation at scale.
- Ensure our core functionality is stable, scalable, well-maintained, and continuously improving.
- Continuously grow your technical skills to tackle our toughest challenges related to quality, performance, robustness, and reliability.
- Contribute to our team’s culture and future by mentoring other engineers and setting standards of engineering excellence.
- Support and scale highly-available, highly-trafficked services essential for our customers' time-sensitive, business-critical needs.
Qualifications - Technical Skills
- 5+ years of experience in professional full-stack software development, with a recent focus on leveraging AI/ML technologies.
- Expertise in working with all components of a modern web application.
- Proficiency in programming languages such as Ruby on Rails, JavaScript, Python, or Go.
- Proficiency in object-oriented programming, systems design, and working with large-scale, low-latency systems.
- Experience using frontier-scale LLMs (e.g., GPT, Claude, Gemini) programmatically for developing applications in production environments is a plus.
- Experience working with SQL and RDBMS (PostgreSQL preferred) and data warehousing solutions.
- Strong software engineering practices, including coding, unit testing, code reviews, and design documentation.
- B.S. or higher in Computer Science (or equivalent work experience).
Qualifications - Business Skills
- Passionate about crafting innovative, user-centric solutions, solving intricate technical problems, and making a tangible impact.
- Highly curious about engineering beyond immediate discipline with a desire to stay at the cutting edge of applied AI.
- Driven by the challenge of creating elegant, intuitive, and user-friendly products.
- Self-directed, independent, and experienced in owning complete features and products.
- Fearless in stepping outside their comfort zone to tackle various challenges and opportunities as we rapidly grow the product and team.
- Proactive in sharing thoughts and input; we value open communication over a heads-down environment.
- Experience working with Agile methodologies.
Base Compensation Range for US-based Employees: $170,000-$220,000
This position is eligible for a yearly bonus and equity package
Outside of the US, salary and benefits vary by region so please enquire for specifics as you might be eligible for other benefits depending on your location.
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience.
Qualified participates in the E-Verify program.
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