AI Engineering Lead

1 day ago


New York, New York, United States Avant Tech Full time
Shape the Future of AI with Avant Tech

At Avant Tech, we're pushing the boundaries of AI innovation. As a Full Stack Engineering Lead, you'll play a pivotal role in developing and implementing cutting-edge AI solutions that optimize our operations.

Key Responsibilities:
  • Technical Leadership: Mentor and guide our engineering team, ensuring adherence to best practices and standards.
  • Product Development: Contribute to the development of AI-powered products that enhance operational efficiency.
  • AI & LLM Expertise: Apply your deep understanding of AI and LLMs to create innovative solutions.
  • Technology Adoption: Champion the adoption of modern technologies, including generative AI, cloud, security, and Kubernetes.
  • Research & Development: Contribute to research efforts to advance AI and LLM capabilities.
  • Collaboration: Partner with cross-functional teams to deliver successful outcomes.
Qualifications:
  • Technical Proficiency: Strong expertise in Kubernetes, backend development, and scalable engineering solutions.
  • Programming Skills: Proficient in at least two programming languages, preferably Python, JavaScript/TypeScript, or Golang.
  • AI Foundations: Experience designing control and sandboxing systems for AI research.
  • ML Frameworks: Familiarity with PyTorch and TensorFlow.
  • Security & Privacy: Experience maintaining or contributing to bug bounty and responsible disclosure programs.
  • AI Understanding: A deep understanding of language models and transformers.
  • Data Management: Knowledge of vector stores and search algorithms.
  • Data Engineering: Experience with large-scale ETL development.
  • AI Systems: Proven track record of engineering high-performance, large-scale AI/ML systems.
  • Startup Experience: A history of success in fast-paced startup environments.
  • Community Involvement: Experience with LangChain and potential contributions to the project.
  • Passion for AI: A genuine enthusiasm for AI and LLMs, demonstrated through personal projects or research.


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