Job description
Ironclad is the leading AI-powered contract lifecycle management platform, processing billions of contracts every year.
Every business is powered by contracts, but managing them can slow companies down and cost millions of dollars. Global innovators like L’Oréal, OpenAI, and Salesforce trust Ironclad to transform contracting into a strategic advantage - accelerating revenue, reducing risk, and driving efficiency. It’s the only platform that manages every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA.
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 in our category. We’ve also been named one of Fortune’s Great Places to Work six years running, featured on Glassdoor’s Best Places to Work, and recognized by Forbes’ 50 Most Promising AI Companies.
We’re backed by leading investors like Accel, Sequoia, Y Combinator, and BOND. We’d love for you to join us!
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 contracts are built, managed & executed across an organization. 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 technologies such as Context Engineering, LLM Tuning / Post Training, Evaluation Frameworks to develop state-of-the-art models and intelligent systems that 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
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
Required skills:
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 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
Benefits:
Health, dental, and vision insurance
401k
Wellness reimbursement
Take what you need vacation policy
Generous parental leave for both primary and secondary caregivers
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 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.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
