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AI Engineer

Job Overview

Location

San Francisco

Job Type

Full-time

Category

Machine Learning Engineer

Date Posted

February 26, 2026

Full Job Description

đź“‹ Description

  • • Join Ironclad, the industry-leading AI contracting platform, and play a pivotal role in shaping the future of legal AI. We are seeking a talented and driven AI/ML Engineer to contribute to our mission of transforming how legal teams manage contracts, turning agreements into powerful assets.
  • • In this exciting role, you will leverage cutting-edge technologies such as HuggingFace, OpenAI APIs, and Rivet to develop and implement state-of-the-art AI models and intelligent systems. Your work will focus on extracting structured insights from complex legal documents and powering innovative product features used by leading legal teams worldwide.
  • • You will be instrumental in building and tuning sophisticated models and AI capabilities designed to ingest legal documents, accurately extract key information, and deliver actionable insights directly to our customers. This involves a deep dive into the nuances of legal language and contract structures.
  • • A significant part of your responsibility will involve implementing robust backend services that form the backbone of our document understanding, classification, and natural language search functionalities. These services are critical for enabling users to quickly find and utilize information within their contracts.
  • • You will have the opportunity to explore and apply the latest advancements in Natural Language Processing (NLP), Large Language Model (LLM) integration, Prompt Engineering, Context Engineering, and semantic search. Your contributions will directly advance Ironclad’s ambitious AI/ML vision and maintain our competitive edge.
  • • Design, develop, and maintain resilient and scalable systems for comprehensive prompt management, efficient model training and tuning, seamless orchestration, rigorous evaluation, and high-performance inference. A strong emphasis will be placed on ensuring these systems are scalable, reliable, and observable in production environments.
  • • You will be at the forefront of developing and scaling advanced Retrieval-Augmented Generation (RAG) systems and agent-based orchestration frameworks. These systems are designed to handle complex legal workflows and provide intelligent automation.
  • • Contribute significantly to building and enhancing our foundational AI/ML infrastructure. This includes developing and refining tools for experimentation, model versioning, and sophisticated online/offline performance monitoring, ensuring a smooth and efficient development lifecycle.
  • • Collaborate closely with product managers and designers to translate user needs and business requirements into intuitive, user-facing AI experiences. Your work will directly impact the value delivered through our APIs and intelligent product features.
  • • As part of Ironclad's end-to-end ownership model, you will actively contribute to our MLOps stack. This ensures that our AI models are not only developed effectively but are also scalable, reliable, and performant when deployed in production, meeting the demands of our global user base.
  • • You will work with a team that is passionate about innovation and dedicated to solving real-world customer problems through AI. This role offers a unique opportunity to make a tangible impact on a product used by some of the world's most transformative organizations, including OpenAI, the World Health Organization, and the Associated Press.
  • • Ironclad is recognized as a leader in the contract lifecycle management space, consistently acknowledged in the Forrester Wave and Gartner Magic Quadrant. We are also celebrated as a Fortune Great Place to Work and one of Fast Company’s Most Innovative Workplaces, reflecting our commitment to excellence and employee experience.
  • • This hybrid role requires office attendance at least twice a week (Tuesdays and Thursdays) in our San Francisco headquarters, fostering collaboration and connection. Additional in-office days may be scheduled for team or company events.
  • • You will be part of a dynamic and growing team, backed by leading investors such as Accel, Y Combinator, and Sequoia, providing a stable and exciting environment for career growth.
  • • This position offers a competitive base salary range of $150,000 - $180,000, along with a comprehensive total rewards package that includes equity awards, exceptional health and wellness benefits, and a strong commitment to professional development.

🎯 Requirements

  • • BS degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • • Proven experience working with large language models (e.g., GPT, Claude) or building Retrieval-Augmented Generation (RAG) systems.
  • • Hands-on experience with embedding models and vector databases (e.g., Pinecone, Weaviate, Chroma).
  • • Demonstrated experience in training, evaluating, and serving machine learning models in a production environment.
  • • Proficiency in Python, backend service development, and building RESTful APIs.
  • • Strong understanding of Natural Language Processing (NLP) techniques such as text classification, entity extraction, document understanding, or question answering.
  • • Familiarity with AI frameworks and APIs like PyTorch, TensorFlow, HuggingFace, OpenAI, or LangChain.
  • • Experience with cloud platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure.
  • • Solid understanding of Git or other version control systems.
  • • Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team.
  • • A strong passion for building AI products that solve tangible, real-world customer problems.

🏖️ Benefits

  • • Comprehensive health coverage: 100% for employees (medical, dental, vision) and 75% for dependents, with buy-up options.
  • • Market-leading leave policies, including gender-neutral parental leave and compassionate leave.
  • • Family forming support through Maven for employees and their partners.
  • • Flexible Paid Time Off (PTO) policy – take the time you need, when you need it.
  • • Monthly stipends for wellbeing, hybrid work, and cell phone use.
  • • Robust mental health support via Modern Health, offering therapy, coaching, and digital tools.
  • • 401(k) plan with employer match through Fidelity (for US Employees).
  • • Regular team events designed for connection, recharging, and enjoyment.
  • • Opportunity to significantly impact the growth and direction of a leading AI company.

Skills & Technologies

Python
AWS
Azure
GCP
Docker
Data Science
Hybrid
$150k-180k
Degree Required

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About Ironclad Inc.

Ironclad provides cloud-based contract lifecycle management software that helps legal, procurement, sales and HR teams create, negotiate, approve, sign, store and analyze contracts. Its no-code workflow builder automates approvals, renewals, and compliance checks while integrating with CRM, e-signature and cloud storage platforms. The platform offers AI-powered clause analysis, obligation tracking and analytics dashboards that surface contract data to drive business decisions. Enterprises use Ironclad to reduce cycle times, ensure regulatory compliance and gain visibility into contract portfolios.

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