# Staff Software Engineer - Applied AI

**Company:** [Ironclad](https://hotfix.jobs/companies/ironclad)
**Location:** San Francisco, CA, Seattle, WA, New York, NY, Chicago, IL
**Role:** ML Engineering
**Salary:** $240k – $295k/yr
**Skills:** TypeScript, Node.js, React, Postgres, LLMs, RAG, OpenAI, Gemini, Datadog, SaaS, GCP, AWS, Azure, CI/CD, GitHub Actions
**Posted:** 2025-09-10

> Develops full-stack AI features for legal contracting platform using TypeScript, React, Node.js, and LLMs. Builds scalable SaaS products like summarization and redlining, collaborating with product and design teams to deliver high-impact capabilities.

## Job Description

## What you'll be doing

- **Full Stack Development**: Lead the design, development, and deployment of features from end-to-end using **TypeScript**, **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.

## Required Skills

- **Full-Stack Expertise**: Deep professional experience with the core tech stack: **TypeScript**, **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 mindset with proven ability to work effectively in 0-to-1 setups, frequently make pivots, and translate ambiguity into concrete, impactful engineering work.
- **Collaboration and Communication**: Exceptional skills as a great collaborator with product, design, and QE teams, acting as a clear technical voice for customer-centric solutions.

## Nice to Have Skills

- **AI Evaluation Experience**: Experience building automated evaluation pipelines and defining technical metrics (e.g., faithfulness, groundedness) to measure the quality of various AI features.
- **Cloud Administration** (**GCP**/**Azure**/**AWS**): Hands-on experience with managing infrastructure or administrative tasks on major cloud providers like **GCP**, **Azure**, or **AWS**.
- **Legal Tech Domain**: Prior experience in **Legal Tech** or other high-stakes domains (FinTech, HealthTech) where data accuracy and auditability are paramount.
- **Document Processing**: Experience working with **PDF** and **DOCX** parsing for document ingestion.
- Familiarity with **CI/CD** systems (e.g., **GitHub Actions**, **CircleCI**).

## Compensation

**Base Salary Ranges**:
- **Staff**: $210,000 - $260,000
- **Senior Staff**: $240,000 - $295,000

The base salary range represents the minimum and maximum of the salary range for this position based at our **San Francisco** headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate.

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**Canonical:** https://hotfix.jobs/jobs/efd7b634-6bb8-48a4-bd45-aaceaf6fac38