Ironclad · 15 hours ago
AI Engineer
Ironclad is the leading AI contracting platform that transforms agreements into assets. We're looking for an AI/ML Engineer to help shape the future of legal AI by developing state-of-the-art models and intelligent systems that enhance how legal teams manage contracts.
Enterprise SoftwareLegal TechManagement Information SystemsSaaS
Responsibilities
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
Qualification
Required
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 problems
Preferred
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
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
Company
Ironclad
Ironclad is a contract lifecycle management platform used by companies to handle every type of contract workflow.
H1B Sponsorship
Ironclad has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (21)
2024 (14)
2023 (21)
2022 (14)
2021 (13)
2020 (9)
Funding
Current Stage
Late StageTotal Funding
$334MKey Investors
Franklin TempletonBondY Combinator
2022-01-18Series E· $150M
2020-12-21Series D· $100M
2019-09-17Series C· $50M
Recent News
salesforceventures
2026-01-13
Soma Capital
2026-01-07
Company data provided by crunchbase