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Job Description

Job Title: Generative AI (GenAI) Engineer

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About the Role

Generative AI Engineer


Key Responsibilities

  • Model Development & Fine-Tuning

  • Build, fine-tune, and optimize LLMs, multimodal models, and generative models (e.g., GPT-based, Llama, Stable Diffusion).
  • Develop custom training pipelines using frameworks like PyTorch, TensorFlow, or JAX.
  • Perform prompt engineering, prompt optimization, and model evaluation.
  • Solution Architecture

  • Design and implement scalable GenAI-driven systems (chatbots, copilots, RAG systems, content generation engines, etc.).
  • Integrate models with enterprise systems via APIs, microservices, or cloud platforms.
  • Data Engineering & MLOps

  • Prepare and curate datasets for training/finetuning using synthetic data generation, labeling, and cleansing.
  • Build end-to-end MLOps pipelines for continuous training, monitoring, and model deployment.
  • Optimize model performance for latency, accuracy, and cost.
  • Research & Innovation

  • Stay updated with the latest advancements in LLMs, transformers, generative modeling, and retrieval systems.
  • Experiment with new architectures, embeddings, vector databases, and inference optimization techniques (quantization, distillation, LoRA).
  • Collaboration

  • Work cross-functionally with product, engineering, and UX teams to define and deliver GenAI-powered features.
  • Communicate technical concepts clearly to stakeholders.


Required Skills & Qualifications

  • Python Programinng,Traditional ML, GenAI, Scaled AI, GitLab, Agentic framework, MCP, AWS Sagemaker
  • Building end to end Gen AI based Authoring pipelines and agents


Why Join Us

  • Work on cutting-edge GenAI projects that impact millions of users.
  • Collaborate with a highly skilled AI team and industry experts.
  • Competitive compensation, learning opportunities, and innovation-driven culture.
  • Opportunity to shape the future of AI within our organization.

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