Congruent is seeking to support Generative AI Fabric development through its engineering team. The company’s engineers (“Vendor Personnel”) should have deep expertise in machine learning, large language models, advanced deep learning, data engineering, prompt optimization, and model fine-tuning. Familiarity with PyTorch or TensorFlow and experience deploying AI solutions on AWS, Azure, or GCP are essential. The team must also demonstrate a strong understanding of ethical AI practices, including bias mitigation, fairness, and regulatory compliance.
- Advanced degree (MS/PhD) preferred.
- Expertise in RAG solution architecture and knowledge stores (OpenSearch + vector stores).
- Experience delivering Generative AI and agent solutions.
- Familiarity with multimodal modeling and modern computer vision.
- Experience with LLM serving technologies (e.g., DeepSpeed, FasterTransformer).
- Public cloud experience; strong understanding of IaaS/PaaS and competitive cloud capabilities.
- Experience with fine-tuning (PEFT) and multi-task serving techniques.
Deep understanding of Transformers, training methods, and optimizers; frameworks: PyTorch, JAX, or TensorFlow.
