Ironclad

Staff Software Engineer - Applied AI

Ironclad

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $210,000 - $235,000 per year

Job Level

Lead

Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformNumpyPandasPySparkPythonPyTorchSQLTensorflow

About the role

  • 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
  • 2 years of previous experience exploring and applying cutting-edge techniques in NLP, LLM integration, Prompt / Context Engineering, and semantic search to advance Ironclad’s AI/ML vision
  • 2 years of previous experience designing and maintaining robust systems for context management, model training / tuning, orchestration, evaluation & inference, with a focus on scalability, reliability, and observability
  • 2 years of previous experience developing and scaling 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

Requirements

  • BS or advanced degree in Computer Science, Engineering, or a related field
  • 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)
  • 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