Lead Generative AI Engineer/ Remote

๐ŸŒ Remote, USA ๐Ÿš€ Full-time ๐Ÿ• Posted Recently

Job Description

Job Title: Lead Generative AI Engineer

Loctaion- Remote

Job Summary:

We are seeking an experienced Lead Generative AI Engineer to design, develop, and deploy advanced generative AI solutions. The ideal candidate will lead the development of AI-powered applications using large language models, oversee AI architecture, and collaborate with cross-functional teams to deliver scalable AI solutions.

    Key Responsibilities:
  • Lead the design and development of Generative AI solutions using large language models (LLMs).
  • Build and deploy AI/ML models, chatbots, and intelligent automation solutions.
  • Develop applications using frameworks such as LangChain, LlamaIndex, or similar AI orchestration tools.
  • Integrate AI models with cloud platforms, APIs, and enterprise systems.
  • Optimize model performance, scalability, and cost efficiency.
  • Implement prompt engineering, fine-tuning, and RAG (Retrieval-Augmented Generation) techniques.
  • Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions.
  • Ensure data security, governance, and responsible AI practices.
  • Mentor junior engineers and provide technical leadership on AI initiatives.
    Required Skills & Qualifications:
  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
  • 6+ years of experience in software engineering, machine learning, or AI development.
  • Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
  • Experience working with large language models (LLMs) and generative AI technologies.
  • Knowledge of vector databases, embeddings, and semantic search.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Strong understanding of API development, microservices, and scalable system design.
  • Excellent problem-solving and leadership skills.
    Preferred Qualifications:
  • Experience with LLM fine-tuning and prompt engineering.
  • Knowledge of MLOps, CI/CD pipelines, and model deployment strategies.
  • Experience with AI-powered applications such as chatbots, copilots, or content generation tools.
  • Familiarity with data engineering and big data technologies.

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