AI Engineer
Description For AI Engineer
Ironclad, the leading contract lifecycle management platform, is seeking an AI Engineer to join their innovative team. This role sits at the intersection of artificial intelligence and legal technology, where you'll be instrumental in developing cutting-edge AI solutions for contract management.
The position offers an exciting opportunity to work with state-of-the-art tools including HuggingFace, OpenAI APIs, and Rivet to build intelligent systems that transform how legal teams handle contracts. You'll be responsible for developing models that extract structured insights from contracts and creating robust MLOps infrastructure to ensure production reliability.
As an AI Engineer at Ironclad, you'll collaborate closely with product managers and designers to translate user needs into AI-powered features. The role requires expertise in NLP, machine learning, and backend development, with a focus on building scalable, production-ready systems. You'll work on exciting projects involving document understanding, RAG systems, and agent-based orchestration frameworks.
The company offers a competitive compensation package including a base salary range of $145,000-$165,000, equity awards, and comprehensive benefits. Ironclad has been recognized as a leader by Forrester Wave and Gartner Magic Quadrant, and has consistently been named one of Fortune's Great Places to Work.
This is an ideal opportunity for someone passionate about applying AI to solve real-world problems in the legal tech space, working with a collaborative team that's building the future of intelligent contracting. The hybrid work environment offers flexibility while maintaining team connectivity and collaboration.
Responsibilities For AI Engineer
- Build models and AI capabilities that ingest legal documents, extract key information, and deliver actionable insights
- Implementing backend services that power document understanding, classification, and natural language search
- Explore and apply cutting-edge techniques in NLP, LLM integration, and semantic search
- Design and maintain robust pipelines for model training, evaluation, and inference
- Develop and scale retrieval-augmented generation (RAG) systems
- Help build foundational AI/ML infrastructure
- Partner closely with product managers and designers
- Own and maintain production systems, responding to high-priority issues
Requirements For AI Engineer
- BS degree in Computer Science, Engineering, or a related field
- Experience in training, evaluating, and serving machine learning models in production
- 1+ years of hands-on experience with Python, backend service development, and RESTful APIs
- 1+ years of experience in NLP techniques
- Proficiency with deep learning frameworks and APIs
- 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
Benefits For AI Engineer
- Health, dental, and vision insurance
- 401k
- Wellness reimbursement
- Take what you need vacation policy
- Generous parental leave for both primary and secondary caregivers
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