Technical Lead, Generative AI

Engineering · Full-time · Chicago, United States · Remote possible

Job description

About Qarik

Co-founded by Google Cloud Engineering leaders, Qarik is an IT Solutions company focusing on Google Cloud Platform. We’ve grown to 100 employees in less than three years and continue to attract brand-name (F1000) clients. We are an engineer-driven company where your talent is truly appreciated and maximized. Unlike the traditional model, where consultants can remain long beyond project completion, we enter our engagements with the end in mind. Core to our ethos is the ability to solve complex problems and teach clients to do the same.

We are looking for an accomplished Technical Lead proficient in implementing and operating the platforms and tools associated with Generative AI. In this role, you'll lead a team building bleeding-edge Generative AI applications using Large Language Models (LLMs) for structured and unstructured data for summarization, classification, and question-answering. You will work with our customers to understand their requirements and imagine, design, and develop applications on Google Cloud. In addition, you will collaborate with other technical leads to contribute towards the development of Generative AI capabilities within the company.

Minimum Qualifications

  • 10+ years in a senior technical role, contributing code or designing architecture.
  • Recent experience leading multi-skilled, senior technical teams.
  • Recent experience in playing a key role in implementing and operating Generative AI, machine learning, or deep learning applications.
  • Experience designing and implementing cloud-native applications, microservices architecture, and understanding distributed systems.
  • Experience in software lifecycle best practices.
  • Demonstrated ability in scaling applications and understanding time/space complexity.
  • Understanding of troubleshooting and reductionist techniques in software development.
  • Bachelor’s or Master’s degree in Computer Science or related field.

Preferred Qualifications

  • Recent experience implementing MLOps.
  • Experience in the process of identifying, ingesting, and cleaning raw data for use in AI applications.
  • Experience with Google Cloud Platform (GCP), including Cloud Run, GKE, Firestore, and CloudSQL. Alternatively, experience with similar services on AWS or Azure.
  • Large Language Model development stack (LangChain, Google PaLM, etc.)
  • CI/CD automation and orchestration (Jenkins, Github Actions, Cloud Build, or similar).
  • Infrastructure actuation/automation (Terraform or similar).

Personal Qualities

  • Acts like an owner.
  • Have a passion for quality, good design, and clean code.
  • Engineering mindset/developer background.
  • Strong sense of ownership and teamwork.
  • Curious, always learning to get better.
  • Excellent communication skills.

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