Ironclad
Staff Software Engineer - Applied AI
Ironclad, San Francisco, California, United States, 94199
Overview
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Staff Software Engineer - Applied AI
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Ironclad . Ironclad is the leading AI-powered contract lifecycle management platform, processing billions of contracts every year. It helps transform contracting into a strategic advantage by accelerating revenue, reducing risk, and driving efficiency. Ironclad manages every type of contract workflow, including sales agreements, HR agreements, and NDAs. We’re building the future of intelligent contracting and writing the narrative for how contracts unlock strategic growth. Forrester Wave and Gartner Magic Quadrant have consistently recognized Ironclad as a leader. We’re backed by leading investors and named among Fortune’s Great Places to Work, Glassdoor’s Best Places to Work, and Forbes’ 50 Most Promising AI Companies. 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. What you’ll be doing
Build and tune models and AI capabilities that ingest legal documents, extract key information, and deliver actionable insights to customers Implement backend services that power document understanding, classification, and natural language search Collaborate with product managers and designers to translate user needs into AI-powered product capabilities Lead efforts in model evaluation, iteration, and deployment—ensuring robustness, explainability, and continuous improvement Contribute to the MLOps stack to ensure models are scalable, reliable, and performant in production Partner with product managers and designers to shape user-facing AI experiences and deliver value through APIs and intelligent features Required skills
BS or advanced degree in Computer Science, Engineering, or a related field Experience 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) Strong engineering fundamentals and attention to code quality, testing, and maintainability Excellent communication and collaboration skills Nice to have
Familiarity with Vertex AI or other managed ML platforms Experience working with PDF and DOCX parsing for document ingestion Comfort with Docker and containerized development Familiarity with CI/CD systems (e.g., GitHub Actions, CircleCI) Monitoring and observability with tools like Datadog or equivalent Experience with data processing and analysis using SQL, Pandas, NumPy, or PySpark Benefits
Health, dental, and vision insurance 401k Wellness reimbursement Take what you need vacation policy Generous parental leave for both primary and secondary caregivers Compensation
Base Salary Range - Senior: $180,000 - $200,000 Base Salary Range - Staff: $210,000 - $235,000 The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered will depend on factors including proficiency, anticipated performance, and location. This is part of Ironclad’s total rewards package, which includes equity awards and comprehensive benefits. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. Job details
Seniority level: Mid-Senior level Employment type: Full-time Industries: Technology, Information and Internet
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Join to apply for the
Staff Software Engineer - Applied AI
role at
Ironclad . Ironclad is the leading AI-powered contract lifecycle management platform, processing billions of contracts every year. It helps transform contracting into a strategic advantage by accelerating revenue, reducing risk, and driving efficiency. Ironclad manages every type of contract workflow, including sales agreements, HR agreements, and NDAs. We’re building the future of intelligent contracting and writing the narrative for how contracts unlock strategic growth. Forrester Wave and Gartner Magic Quadrant have consistently recognized Ironclad as a leader. We’re backed by leading investors and named among Fortune’s Great Places to Work, Glassdoor’s Best Places to Work, and Forbes’ 50 Most Promising AI Companies. 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. What you’ll be doing
Build and tune models and AI capabilities that ingest legal documents, extract key information, and deliver actionable insights to customers Implement backend services that power document understanding, classification, and natural language search Collaborate with product managers and designers to translate user needs into AI-powered product capabilities Lead efforts in model evaluation, iteration, and deployment—ensuring robustness, explainability, and continuous improvement Contribute to the MLOps stack to ensure models are scalable, reliable, and performant in production Partner with product managers and designers to shape user-facing AI experiences and deliver value through APIs and intelligent features Required skills
BS or advanced degree in Computer Science, Engineering, or a related field Experience 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) Strong engineering fundamentals and attention to code quality, testing, and maintainability Excellent communication and collaboration skills Nice to have
Familiarity with Vertex AI or other managed ML platforms Experience working with PDF and DOCX parsing for document ingestion Comfort with Docker and containerized development Familiarity with CI/CD systems (e.g., GitHub Actions, CircleCI) Monitoring and observability with tools like Datadog or equivalent Experience with data processing and analysis using SQL, Pandas, NumPy, or PySpark Benefits
Health, dental, and vision insurance 401k Wellness reimbursement Take what you need vacation policy Generous parental leave for both primary and secondary caregivers Compensation
Base Salary Range - Senior: $180,000 - $200,000 Base Salary Range - Staff: $210,000 - $235,000 The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered will depend on factors including proficiency, anticipated performance, and location. This is part of Ironclad’s total rewards package, which includes equity awards and comprehensive benefits. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. Job details
Seniority level: Mid-Senior level Employment type: Full-time Industries: Technology, Information and Internet
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