CA and US onlyOur Engineering Team
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 Opportunity as a Senior Software Engineer
As a Senior Software Engineer, you will play a pivotal role in advancing Qualified’s PipelineAI platform. Utilizing your deep understanding of scientific concepts and technical expertise, you will build systems that improve data interpretation and language processing. Leveraging Large Language Models (LLMs), you will develop foundational frameworks and scalable, reliable building blocks that form the data platform to support various product needs. From ideation through coding, testing, deployment, monitoring, and customer rollout, you will uphold the highest standards of engineering and code quality. Collaborating closely with customers, you will gather immediate feedback to continually refine and improve our platform.
Responsibilities
- Develop and maintain scalable, high-performance backend systems foundational to our product's functionality.
- Determine the best ways to incorporate LLMs, embeddings, and other AI technologies into Qualified’s platform, exploring boundaries and applying new learnings to enhance our product offerings.
- Architect and execute robust ETL pipelines for managing and standardizing data from diverse sources, optimizing these pipelines to support RAG models' training and inference processes efficiently.
- Ensure the core functionality of our product is stable, scalable, well-maintained, and continuously improving, thus fueling business growth.
- Embrace a product-focused mindset to tackle technical challenges related to quality, performance, robustness, and reliability.
- Contribute to our team’s culture and future by mentoring fellow engineers, championing product-focused values, and establishing standards of engineering excellence.
Qualifications - Technical Skills
- 5+ years of experience building modern web applications, with a recent focus on leveraging AI/ML technologies.
- Proficiency in programming languages such as Ruby on Rails, JavaScript, Python, or Go.
- Hands-on experience in AI-driven application development, including experiment setup, dataset curation, model training, offline evaluation, error analysis, deployment, and online evaluation.
- Strong background in data-focused backend development, ETL processes, and RAG models.
- Knowledgeable in LLM evaluation metrics such as BLEU, ROUGE, and MAUVE, as well as statistical analysis.
- 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.
- 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.
- High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of applied AI
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