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Jobs or company...
R

Senior Generative AI Engineer

  • Full Time, onsite
  • Riskinsight Consulting Private Limited
  • Singapore, Singapore
$ 7,500 - $ 10,000 / month
Checking job availability...
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Job Description

About the role

We are seeking a highly skilled Senior Generative AI Engineer with a strong background in designing and developing Generative AI architectures. The ideal candidate will have deep expertise in building knowledge-based systems with a preference for distributed architectures. You will play a pivotal role in developing intelligent agents, implementing governance frameworks, and designing reusable AI components.

Key Responsibilities:

  • Architect and develop Generative AI solutions, focusing on distributed knowledge-based systems.
  • Design and implement routing mechanisms and intelligent agents for scalable AI workflows.
  • Develop and optimize reusable agents for various AI-driven applications.
  • Establish governance architecture to ensure ethical AI usage and compliance.
  • Work with Multi-Party Computation (MPC) and other security measures to enhance AI privacy.
  • Collaborate with cross-functional teams to integrate AI capabilities into business solutions.
  • Ensure scalability, performance, and maintainability of AI models and systems.

Required Skills & Qualifications

  • Proven experience in designing and implementing Generative AI architectures.
  • Strong knowledge of knowledge-based systems, distributed AI frameworks, and agent-based AI.
  • Expertise in LLMs (Large Language Models), NLP, and AI-driven automation.
  • Hands-on experience with AI governance frameworks and security measures like MPC.
  • Proficiency in AI/ML tools such as Python, TensorFlow, PyTorch, LangChain, OpenAI API, etc.
  • Experience with distributed computing and cloud-based AI solutions (AWS, GCP, Azure).
  • Strong problem-solving and analytical skills with a focus on innovation.

Preferred Qualifications

  • Experience in building AI-driven enterprise solutions.
  • Knowledge of prompt engineering, fine-tuning LLMs, and vector databases.
  • Exposure to MLOps and AI model deployment best practices

Job Description

About the role

We are seeking a highly skilled Senior Generative AI Engineer with a strong background in designing and developing Generative AI architectures. The ideal candidate will have deep expertise in building knowledge-based systems with a preference for distributed architectures. You will play a pivotal role in developing intelligent agents, implementing governance frameworks, and designing reusable AI components.

Key Responsibilities:

  • Architect and develop Generative AI solutions, focusing on distributed knowledge-based systems.
  • Design and implement routing mechanisms and intelligent agents for scalable AI workflows.
  • Develop and optimize reusable agents for various AI-driven applications.
  • Establish governance architecture to ensure ethical AI usage and compliance.
  • Work with Multi-Party Computation (MPC) and other security measures to enhance AI privacy.
  • Collaborate with cross-functional teams to integrate AI capabilities into business solutions.
  • Ensure scalability, performance, and maintainability of AI models and systems.

Required Skills & Qualifications

  • Proven experience in designing and implementing Generative AI architectures.
  • Strong knowledge of knowledge-based systems, distributed AI frameworks, and agent-based AI.
  • Expertise in LLMs (Large Language Models), NLP, and AI-driven automation.
  • Hands-on experience with AI governance frameworks and security measures like MPC.
  • Proficiency in AI/ML tools such as Python, TensorFlow, PyTorch, LangChain, OpenAI API, etc.
  • Experience with distributed computing and cloud-based AI solutions (AWS, GCP, Azure).
  • Strong problem-solving and analytical skills with a focus on innovation.

Preferred Qualifications

  • Experience in building AI-driven enterprise solutions.
  • Knowledge of prompt engineering, fine-tuning LLMs, and vector databases.
  • Exposure to MLOps and AI model deployment best practices