Info Way Solutions
Gen AI Engineer
Full time job
Indianapolis/Dallas, TX/Chicago/SFO/ New York
About the Role We are seeking a Generative AI Engineer to design, develop, and deploy cutting-edge generative models across domains such as text, image, code, and audio. You will work with large language models (LLMs), diffusion models, and transformer-based architectures to build intelligent, creative, and scalable AI systems.Key Responsibilities
Design, fine-tune, and deploy generative models (e.g., GPT, Stable Diffusion, custom transformers). Build and optimize inference pipelines for real-time or batch generation. Collaborate with cross-functional teams to integrate generative AI into products. Develop and maintain data pipelines for training, evaluation, and continual learning. Monitor model performance, address bias/hallucination issues, and improve reliability. Stay updated with the latest research and contribute to experimentation and benchmarking. Required Qualifications
Bachelor's or Master's in Computer Science, Machine Learning, or related field. Strong understanding of deep learning and transformer architectures. Proficiency in Python and ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Experience with LLMs, diffusion models, or GANs. Familiarity with prompt engineering, fine-tuning, and evaluation techniques. Knowledge of deployment tools (e.g., ONNX, TorchServe, Triton). Preferred Qualifications
Experience building generative tools (e.g., chatbots, code generation, digital art). Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG). Contributions to open-source ML projects or published research. Awareness of ethical considerations in generative AI (e.g., data consent, misuse risks).
About the Role We are seeking a Generative AI Engineer to design, develop, and deploy cutting-edge generative models across domains such as text, image, code, and audio. You will work with large language models (LLMs), diffusion models, and transformer-based architectures to build intelligent, creative, and scalable AI systems.Key Responsibilities
Design, fine-tune, and deploy generative models (e.g., GPT, Stable Diffusion, custom transformers). Build and optimize inference pipelines for real-time or batch generation. Collaborate with cross-functional teams to integrate generative AI into products. Develop and maintain data pipelines for training, evaluation, and continual learning. Monitor model performance, address bias/hallucination issues, and improve reliability. Stay updated with the latest research and contribute to experimentation and benchmarking. Required Qualifications
Bachelor's or Master's in Computer Science, Machine Learning, or related field. Strong understanding of deep learning and transformer architectures. Proficiency in Python and ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Experience with LLMs, diffusion models, or GANs. Familiarity with prompt engineering, fine-tuning, and evaluation techniques. Knowledge of deployment tools (e.g., ONNX, TorchServe, Triton). Preferred Qualifications
Experience building generative tools (e.g., chatbots, code generation, digital art). Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG). Contributions to open-source ML projects or published research. Awareness of ethical considerations in generative AI (e.g., data consent, misuse risks).