Jr. AI Automation Engineer

About Ironwood Digital At Ironwood Digital , we are redefining the landscape of performance marketing in the legal sector. Our mission is to democratize access to information for individuals who have been injured, connecting them with law firms that can truly advocate for their rights and achieve successful outcomes. As an innovative, vertically integrated legal case acquisition marketing company, we leverage cutting-edge technology, data-driven insights, and a commitment to transparency to disrupt the status quo. Joining Ironwood Digital means becoming part of a dynamic team that is passionate about making a meaningful impact. We foster a collaborative environment where creativity thrives, and every team member plays a vital role in connecting qualified claimants with the representation they deserve. If you’re looking for a workplace where your contributions can truly make a difference, and where innovation meets purpose, Ironwood Digital is the perfect place for you. About the role Ironwood Digital is building an AI-first operating model. The AI Automation Engineer will design, build, and maintain agentic systems, internal micro-apps, and AI-powered workflows that automate real business processes across Marketing, Lead Operations, Client Services, Finance, and QA. This is a highly hands-on role for someone who can turn messy operational problems into reliable technical solutions. The work includes using LLMs, APIs, automation, data systems, and modern AI coding tools to improve speed, accuracy, decision quality, and business outcomes. Availability: Remote, 9am - 5pm ET What you'll do Build and maintain AI-driven workflows, internal automations, and lightweight internal apps using Python, FastAPI, APIs, webhooks, and modern AI development tools such as Claude Code, Codex, Cursor, and Gemini. Design agentic systems that ingest data, reason over inputs, make decisions, and take actions across internal tools and external platforms. Create and maintain Claude skills, Claude plugins, scripts, and reusable prompt/workflow assets that improve team productivity and standardize execution. Use LLMs for tasks such as data validation, QA support, content analysis, workflow decisioning, summarization, and operational research. Build automations and QA flows using Playwright for web forms, workflow validation, lead routing checks, and client criteria enforcement. Integrate systems across CRM, LeadsPedia, BigQuery, Supabase, GCP, Slack, and other internal or third-party platforms through APIs, MCP, and webhooks. Deploy internal tools and micro-apps using GitHub and Vercel, following good software engineering practices including version control, documentation, maintainability, and testing discipline. Partner with Operations, Marketing, and Technology stakeholders to identify high-ROI automation opportunities and convert business needs into practical AI solutions. Document workflows, technical decisions, prompts, logic, schemas, and operating procedures in markdown and related formats so systems remain understandable and maintainable. Monitor reliability, troubleshoot issues, and improve workflows over time with attention to quality, error handling, and business impact. Qualifications 1–3 years of experience building automations, internal tools, workflow systems, or software solutions in a business environment. Strong hands-on ability with Python for scripting, APIs, JSON, markdown-based workflows, and data handling. Practical experience with LLMs such as Claude, ChatGPT, Gemini, or similar, including prompt engineering and workflow design. Familiarity with agentic software development patterns and AI-assisted coding tools such as Claude Code, terminal-based coding agents, Codex, or Cursor. Experience integrating systems through APIs, webhooks, and structured data flows. Comfort working with cloud and data platforms, ideally including GCP, BigQuery, and Supabase. Ability to translate business processes into technical workflows and usable internal solutions. Strong problem-solving skills, good judgment, and attention to detail. Clear written documentation habits and comfort working in Git-based environments with version control and collaborative engineering practices. Nice to Have Experience with agentic frameworks or multi-step AI workflows Familiarity with: CRM systems (Salesforce) Lead distribution platforms (Leadspedia) QA or data validation pipelines Prior experience in: Lead generation Marketing operations Call center or intake workflows Compliance & Data Handling Must follow TCPA, HIPAA, and tort-specific data handling rules Responsible for protecting claimant PII and sensitive data All automation must meet internal compliance and security standards Benefits Uncapped quarterly profit-sharing bonuses based on company performance 100% company-paid monthly premiums for Fortune 500 level quality insurance plans for you and any/all dependents (US based employees): medical (Aetna) dental (Guardian) vision (Guardian) 100% company match on any