AI Engineer, Ironclad

• BS degree in Computer Science, Engineering, or a related field
• Experience in training, evaluating, and serving machine learning models in production
• 1+ years of hands-on experience with Python, backend service development, and RESTful APIs
• 1+ years of experience in NLP techniques such as text classification, entity extraction, document understanding, or question answering
• Proficiency with deep learning frameworks and APIs (e.g., PyTorch, TensorFlow, HuggingFace Transformers, OpenAI APIs, LangChain)
• Experience with cloud platforms (e.g., GCP, AWS, Azure)
• Solid understanding of Git or other version control systems
• Strong engineering fundamentals and attention to code quality, testing, and maintainability
• Excellent communication and collaboration skills
• Passion for building AI products that solve real-world customer problems

Desirable

• Ironclad is accelerating its AI initiatives to transform how legal teams manage contracts
• We're looking for a AI/ML Engineer to help shape the future of legal AI
• In this role, you’ll work with cutting-edge tools such as HuggingFace, OpenAI APIs, and Rivet to develop state-of-the-art models and intelligent systems that extract structured insights from contracts and power product features used by leading legal teams
• You’ll partner closely with product managers and designers to translate user needs into AI-powered product capabilities
• You’ll also lead efforts in model evaluation, iteration, and deployment—ensuring our systems are robust, explainable, and continuously improving
• As part of our end-to-end ownership model, you’ll contribute to the MLOps stack to ensure our models are scalable, reliable, and performant in production
• Build models and AI capabilities that ingest legal documents, extract key information, and deliver actionable insights to customers
• Implementing backend services that power document understanding, classification, and natural language search
• Explore and apply cutting-edge techniques in NLP, LLM integration, and semantic search to advance Ironclad’s AI/ML vision
• Design and maintain robust pipelines for model training, evaluation, and inference, with a focus on scalability, reliability, and observability
• Develop and scale retrieval-augmented generation (RAG) systems and agent-based orchestration frameworks for complex legal workflows
• Help build foundational AI/ML infrastructure, including tools for experimentation, model versioning, and online/offline performance monitoring
• Partner closely with product managers and designers to shape user-facing AI experiences and deliver value through APIs and intelligent features
• Own and maintain production systems, responding to high-priority issues (P0s) and resolving bugs as they arise