Description

You will design and architect end-to-end generative AI systems for enterprise use cases.

This role is on-site.

Responsibilities

• Design end-to-end generative AI systems using LLMs, diffusion models, and multimodal architectures.
• Architect scalable pipelines for text, image, audio, and video generation using LangChain and custom models.
• Fine-tune and deploy large language models (LLMs) and diffusion models for performance and ethical alignment.
• Define best practices for prompt engineering, Retrieval-Augmented Generation (RAG), and model evaluation.
• Implement CI/CD pipelines for generative AI solutions using MLFlow, Kubeflow, or Vertex AI.

Required Skills

• 8+ years in AI/ML, including 3+ years focused on generative AI deployments.
• Hands-on experience with LLMs, GANs, VAEs, and transformer architectures.
• Proficiency in LangChain, LlamaIndex, and vector databases (e.g., Pinecone, Chroma).
• Expertise in Python, PyTorch, and TensorFlow for ML development.
• Experience building and consuming REST APIs.
• Familiarity with AWS AI services, Azure OpenAI, and GCP Vertex AI.
• Proven track record deploying production-grade generative AI solutions.

Key Skills

Education

Any Graduate