Ironclad
Join to apply for the
Staff Software Engineer - Applied AI
role at
Ironclad
Business runs on contracts. Every dollar earned, relationship formed, and advantage gained comes down to the contract that makes it real. But getting a contract done is more complicated than it should be. 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.
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
six years running, and one of Fast Company’s Most Innovative Workplaces.
We’re backed by leading investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton.
Hybrid role. Office attendance required at least twice a week on Tuesdays and Thursdays for collaboration and connection.
AI Engineering @ Ironclad Ironclad is accelerating its AI initiatives to transform how contracts are built, managed & executed across an organization. We’re looking for an 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
Implement backend services that power document understanding, classification, and natural language search
Design and maintain robust systems for context 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
Build foundational AI/ML infrastructure, including tools for experimentation, model versioning, and online/offline performance monitoring
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 problems
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
Staff: $210,000 – $235,000
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Compensation Range: $210K – $235K
#J-18808-Ljbffr
Staff Software Engineer - Applied AI
role at
Ironclad
Business runs on contracts. Every dollar earned, relationship formed, and advantage gained comes down to the contract that makes it real. But getting a contract done is more complicated than it should be. 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.
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
six years running, and one of Fast Company’s Most Innovative Workplaces.
We’re backed by leading investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton.
Hybrid role. Office attendance required at least twice a week on Tuesdays and Thursdays for collaboration and connection.
AI Engineering @ Ironclad Ironclad is accelerating its AI initiatives to transform how contracts are built, managed & executed across an organization. We’re looking for an 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
Implement backend services that power document understanding, classification, and natural language search
Design and maintain robust systems for context 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
Build foundational AI/ML infrastructure, including tools for experimentation, model versioning, and online/offline performance monitoring
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 problems
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
Staff: $210,000 – $235,000
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Compensation Range: $210K – $235K
#J-18808-Ljbffr