Software Engineer - Applied AI

Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all with you in control. Whether you’re buying or selling, Ironclad unifies the entire process on one intelligent platform, providing leaders with the visibility they need to stay one step ahead. That’s why the world’s most transformative organizations, from OpenAI to the World Health Organization and the Associated Press, trust Ironclad to accelerate their business.

We’re consistently recognized as a leader in the industry: a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work, and one of Fast Company’s Most Innovative Workplaces. Ironclad has also been named to Forbes’ AI 50 and Business Insider’s list of Companies to Bet Your Career On. We’re backed by leading investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton.

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Ironclad is accelerating its AI initiatives to transform how contracts are built, managed, and executed across an organization. We’re looking for a Generative AI Application Developer to rapidly build and deploy high-impact legal AI product features.

In this role, you are the expert AI feature developer who leverages our existing AI platform. You establish a Prompt Strategy, utilizing established Retrieval-Augmented Generation (RAG) services and Large Language Model (LLM) APIs to develop intelligent product capabilities, like summarization or redlining.

You will partner closely with product managers and designers to translate user needs into production-ready LLM application logic. Your success will be measured by your ability to design the optimal context input and craft effective prompts to maximize the accuracy, relevance, latency and reliability of the final user-facing feature.

• Full Stack Development: Lead the design, development, and deployment of features from end-to-end using Type Script, Node.js, React, and PostgreSQL
  , ensuring high performance and availability.

• Build Production AI Features: Be a primary contributor to the next generation of AI-powered legal features, including specialized summarization, drafting, editing, and document comparison functionalities utilizing LLMs.

• Architect Highly Scalable AI Products: Build and maintain reliable, highly scalable software and services designed for a high-traffic SaaS environment.

• Foster
  
  Cross-Functional Collaboration:
  
  Collaborate closely with Product Managers, UX Designers, and QE counterparts to rapidly prototype, iterate on designs, and make frequent, agile pivots based on user feedback.

• Advocate for the Customer: Maintain a high degree of customer empathy
  , ensuring technical decisions prioritize user experience and directly address customer pain points, creating measurable product impact.

• Deliver and Optimize AI Infrastructure: Work with platform teams to consume and manage internal LLM APIs, ensuring resilient connections and efficient token usage to meet strict latency targets.

• Full-Stack Expertise: Deep professional experience with the core tech stack:
  Type Script, Node.js, React, and PostgreSQL
  .

• High-Scale SaaS
  
  Experience:
  
  Proven track record of building, deploying, and maintaining reliable, highly scalable software for SaaS applications.

• LLM Consumption and Integration: Extensive experience consuming LLMs via APIs (e.g., OpenAI, Gemini, or proprietary models) and integrating them successfully into production-facing features.

• AI Feature Implementation: Practical experience building and shipping accurate and successful AI features or products, such as chatbots, summarization, drafting, or document editing/comparison using LLMs, RAGs, and the right context for LLM calls.

• Analytics, Monitoring and Observability:
  
  Experience with making data driven decisions, based on product analytics and have experience using monitoring and observability tools like Datadog or equivalent to diagnose performance issues and ensure system health.

• Agile and Impact-Driven: Highly agile…