Staff Software Engineer - Applied AI

Candidates must possess a BS or advanced degree in Computer Science, Engineering, or a related field. They should have 7+ years of hands-on experience with Python, backend service development, and RESTful APIs. Required skills include experience working with large language models (e.g., GPT, Claude) or building RAG systems, experience with embedding models and vector databases, and proficiency with AI frameworks and APIs (e.g., PyTorch, TensorFlow, HuggingFace, OpenAI, LangChain). Additionally, candidates need experience in NLP techniques such as text classification, entity extraction, document understanding, or question answering, and experience in training, evaluating, and serving AI/ML models. Two years of previous experience in exploring and applying cutting-edge techniques in NLP, LLM integration, Prompt/Context Engineering, and semantic search is necessary. Furthermore, two years of experience designing and maintaining robust systems for context management, model training/tuning, orchestration, evaluation & inference, with a focus on scalability, reliability, and observability, is required. Two years of previous experience developing and scaling retrieval-augmented generation (RAG) systems and agent-based orchestration frameworks for complex legal workflows is also a requirement.