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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

natural language processinglarge language modelsretrieval-augmented generationembedding modelsmachine learningPythonbackend service developmentRESTful APIsAI frameworkscloud platforms

Soft skills

communicationcollaborationattention to code qualitytestingmaintainability

Certifications

BS degree in Computer ScienceBS degree in Engineering