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 in data-centric backend development and ETL processes.

• Proficiency in programming languages such as Ruby on Rails, JavaScript, Python, or Go.

• 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