Senior Software Engineer

hace 2 meses


Ciudad de México, Ciudad de México Qualified, Inc. A tiempo completo

About Qualified, Inc.

Qualified, Inc. is a leading provider of AI-powered pipeline generation solutions for revenue teams. Our platform uses advanced technologies like Large Language Models (LLMs) to generate high-quality leads and drive business growth.

Job Summary

We are seeking an experienced Senior Software Engineer to join our team and contribute to the development of our cloud-native AI platform. As a Senior Software Engineer, you will play a key role in designing and implementing scalable, high-performance backend systems that power our product's functionality.

Key Responsibilities

  • Develop and Maintain Scalable Backend Systems

Design and implement scalable, high-performance backend systems that power our product's functionality.

Integrate LLMs and AI Technologies

Determine the best ways to incorporate LLMs, embeddings, and other AI technologies into our platform, exploring boundaries and applying new learnings to enhance our product offerings.

Architect and Execute ETL Pipelines

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 Product Stability and Scalability

Ensure the core functionality of our product is stable, scalable, well-maintained, and continuously improving, thus fueling business growth.

Embrace a Product-Focused Mindset

Embrace a product-focused mindset to tackle technical challenges related to quality, performance, robustness, and reliability.

Mentor and Contribute to Team Culture

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 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).
  • Business Skills
    • Advanced proficiency with English, both written and verbal.
    • 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.

About Our Team

We are a team of passionate engineers and innovators who are dedicated to delivering high-quality products and solutions that drive business growth. We value collaboration, open communication, and a culture of continuous learning and improvement.

What We Offer

We offer a competitive salary, comprehensive benefits package, and opportunities for professional growth and development. If you are a motivated and experienced software engineer who is passionate about AI and machine learning, we encourage you to apply for this exciting opportunity.


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