Sr Associate - Development

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We are seeking an experienced AI Engineering Leader to drive the architecture, development, and delivery of next-generation AI-powered Metaverse products. The ideal candidate will have deep expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Machine Learning, Deep Learning, Transformers, and AI product development. The role requires strong technical leadership, product ownership, and the ability to build scalable AI solutions integrated with immersive Metaverse environments.
Key Responsibilities

• Define and drive the AI technology vision and roadmap for Metaverse products.

• Lead end-to-end AI product development from concept to deployment.

• Design and implement LLM-powered applications, AI agents, copilots, and intelligent assistants.

• Build scalable RAG architectures integrating vector databases and enterprise knowledge repositories.

• Develop and optimize ML and Deep Learning models for real-world business applications.

• Lead research and implementation of Transformer-based architectures.

• Collaborate with Product, Engineering, UX, BIM, CAD/CAE, Digital Twin, and Metaverse teams.

• Establish AI governance, model evaluation, security, and responsible AI practices.

• Drive cloud-native AI deployments and MLOps practices.

• Mentor and lead high-performing AI engineering and data science teams. Must-Have Skills

• 6    + years of software engineering and product development experience.     
  

• 3    + years of hands-on experience in Machine Learning and AI product development.     
  

•  **Prompt Engineering:     Utilizing LLMs and generative AI tools to accelerate code writing and data extraction.     
  

•  **Data Governance:     Ensuring AI models follow privacy laws, security protocols, and ethical data guidelines.     
  

•    Strong expertise in Generative AI and Large Language Models (OpenAI, Llama, Claude, Gemini, etc.).     
  

•    Proven experience designing and implementing RAG-based systems.     
  

•    Deep understanding of Transformer architectures and attention mechanisms.     
  

•    Strong experience with Deep Learning frameworks such as PyTorch and TensorFlow.     
  

•    Experience in NLP, semantic search, embedding, vector databases, and knowledge retrieval.     
  

•    Expertise in AI model training, fine-tuning, evaluation, and optimization.     
  

•    Strong programming skills in Python and related AI ecosystems.     
  

•    Experience with cloud platforms (AWS, Azure, or GCP).     
  

•    Experience implementing MLOps, CI/CD, model monitoring, and AI deployment pipelines.     
  

•    Strong product ownership and stakeholder management experience.
  

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Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.