Generative AI Engineer

Generative AI Engineer About This Role We're seeking a passionate Generative AI Engineer & problem solver to join our world-class team of innovators who are pushing the boundaries of what's possible with artificial intelligence. You'll be at the forefront of cutting-edge AI research and development, working on awesome projects. What You'll Do Core Responsibilities: Collaborate with cross-functional teams to translate complex AI concepts into practical business solutions. Design systems around open source, enterprise models like Llama, Gemini, GPT to solve innovative problems. Build robust evaluation pipelines to assess model performance, safety, and alignment with business objectives. Optimize model latency and performance for real-time applications and large-scale deployment Architect scalable ML infrastructure for training, inference, and model serving Fine-tune Large Language Models (LLMs) and other transformer-based architectures Ability to explain complex AI concepts to technical and non-technical stakeholders What We're Looking For Experience Requirements: 6+ years of overall data science or ML experience. 1.5+ years of hands-on experience with generative AI and large language models. Advanced degree in Computer Science, Machine Learning, or related field. Experience in taking ML/DL model to production. ️ Technical Expertise: Python, C++ or any other high-level language. PyTorch and TensorFlow. Experience with Hugging Face Transformers, LangChain, LlamaIndex, Pydantic AI Deep Learning fundamentals: neural networks, backpropagation, optimization Generative AI frameworks: OpenAI API, Anthropic Claude, Google Gemini, local LLM deployment Model architectures: Transformers, attention mechanisms, encoder-decoder models Fine-tuning techniques: LoRA, QLoRA, full parameter fine-tuning, RLHF Design and implement comprehensive evaluation pipelines A/B testing for AI systems and statistical significance testing Latency optimization techniques: model quantization, pruning, distillation Experience with MLOps tools: MLflow, Weights & Biases, DVC What We Offer Cutting-Edge Technology: Access to premium GPU clusters A100s for training and experimentation Latest hardware and software tools to support your research and development Freedom to explore breakthrough AI technologies and methodologies Work on groundbreaking problems that haven't been solved before Collaborate with world-class researchers and engineers from top universities and tech companies Contribute to open-source projects and publish your research Keywords Python, Gen AI, LLM, Deep Learning, MLOps, LoRA, QLoRA, PyTorch