Senior Software Engineer, Backend - AI Core

Qualified-posted 5 days ago

Senior

San Francisco, CA

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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.

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.

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 and ETL processes.
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).

Background in working with RAG models.
Knowledgeable in LLM evaluation metrics such as BLEU, ROUGE, and MAUVE, as well as statistical analysis.
Previous experience working within a startup environment or scaling a product/platform is a plus.
Experience architecting applications within a monorepo.

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