Lead Generative AI Engineer

Location: 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 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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