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Ironclad is looking to solve the business problem of managing contracts, which can slow companies down and cost millions of dollars, by developing an AI-powered contract lifecycle management platform. The AI/ML Engineer will help shape the future of legal AI by developing state-of-the-art models and intelligent systems that power product features.

Requirements

• Experience working with large language models (e.g., GPT, Claude) or building RAG systems
• Experience with embedding models and vector databases
• Experience in training, evaluating, and serving AI/ML models
• 7+ years of hands-on experience with Python, backend service development, and RESTful APIs
• Experience in NLP techniques such as text classification, entity extraction, document understanding, or question answering
• Proficiency with AI frameworks and APIs (e.g., PyTorch, TensorFlow, HuggingFace , OpenAI , LangChain)
• Experience with cloud platforms (e.g., GCP, AWS, Azure)

Responsibilities

• Build and Tune 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
• 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
• Contribute to the MLOps stack to ensure our models are scalable, reliable, and performant in production
• Lead efforts in model evaluation, iteration, and deployment—ensuring our systems are robust, explainable, and continuously improving
• Work with cutting-edge technologies such as Context Engineering, LLM Tuning / Post Training, Evaluation Frameworks

Other

• This is a hybrid role. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events.
• BS or advanced degree in Computer Science, Engineering, or a related field
• 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