Job Description :

Lead Gen AI Engineer

100% 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:

  • Bachelor’s or Master’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 GCP.

  • 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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