Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all with you in control. Whether you’re buying or selling, Ironclad unifies the entire process on one intelligent platform, providing leaders with the visibility they need to stay one step ahead. That’s why the world’s most transformative organizations, from Rivian to the World Health Organization and the Associated Press, trust Ironclad to accelerate their business.
We’re consistently recognized as a leader in the industry: a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work, and one of Fast Company’s Most Innovative Workplaces. Ironclad has also been named to Forbes’ AI 50 and Business Insider’s list of Companies to Bet Your Career On. We’re backed by leading investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton. For more information, visit www.ironcladapp.com or follow us on LinkedIn.
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.
AI Engineering @ Ironclad
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.
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
Implementing backend services that power document understanding, classification, and natural language search
Explore and apply cutting-edge techniques in NLP, LLM integration, Prompt / Context Engineering, and semantic search to advance Ironclad’s AI/ML vision
Design and maintain robust systems for prompt management, model training / tuning, orchestration, evaluation & 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
Required skills:
BS 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 machine learning models
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 problemsS
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 tools like SQL, Pandas, NumPy, or PySpark
Base Salary Range: $150,000 - $180,000
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 for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad’s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development.
US Full-Time Employee Benefits at Ironclad:
100% health coverage for employees (medical, dental, and vision), and 75% coverage for dependents with buy-up plan options available
Market-leading leave policies, including gender-neutral parental leave and compassionate leave
Family forming support through Maven for you and your partner
Paid time off - take the time you need, when you need it
Monthly stipends for wellbeing, hybrid work, and (if applicable) cell phone use
Mental health support through Modern Health, including therapy, coaching, and digital tools
Pre-tax commuter benefits (US Employees)
401(k) plan with Fidelity with employer match (US Employees)
Regular team events to connect, recharge, and have fun
And most importantly: the opportunity to help build the company you want to work at
**UK Employee-specific benefits are included on our UK job postings
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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