Hybrid AI Engineer

at Ironclad

• Job title: AI Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $150,000 - $165,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Google Cloud Platform, Python, PyTorch, Tensorflow
• Location requirements: Hybrid, San Francisco, United States

About the role

• AI/ML Engineer shaping the future of legal AI at Ironclad, using cutting-edge tools for contract management. Collaborating with product teams to enhance AI capabilities and user experiences.

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

Requirements

• 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

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