AI Automation Engineer

• Design, build, test, deploy, and maintain AI-powered internal applications, automations, and workflow integrations
• Translate business use cases into technical specifications and implementation plans with leadership
• Recommend technical approaches, AI models, development tools, data architectures, and deployment approaches
• Use Claude Code, ChatGPT/Codex, and similar agentic development environments to build and improve applications
• Develop workflows combining client/listing information, market data, and structured research to identify potential buyers and strategic acquirers
• Build structured target lists, buyer evaluation workflows, buyer scorecards, deal-team briefings, and seller-facing buyer summaries
• Incorporate human-in-the-loop review before external use
• Integrate tools with Fireflies, Streak CRM, Google Workspace, internal documents, APIs, and approved platforms
• Build and maintain APIs, databases, data pipelines, backend systems, and intuitive internal applications
• Develop test plans and conduct end-to-end testing of AI workflows, applications, and integrations
• Troubleshoot technical issues, workflow failures, and edge cases; maintain existing applications
• Apply data security, access permissions, and confidentiality standards
• Collaborate with leadership and communicate technical recommendations, tradeoffs, progress, and requirements to non-technical stakeholders
• Document technical decisions, workflows, maintenance requirements, and development priorities
• In the first 30 days, understand existing workflows, identify dependencies and security considerations, present an AI automation roadmap, and begin a priority prototype or integration

• Proven experience building AI-enabled applications, workflow automations, internal tools, or agentic systems beyond basic chatbot implementations
• Strong hands-on experience using Claude Code, ChatGPT/Codex, or similar AI coding environments
• Solid software development experience using Python, JavaScript/TypeScript, or a comparable programming language
• Experience with LLM APIs, structured outputs, prompt orchestration, and AI workflow design
• Experience developing APIs, integrations, data pipelines, and database-backed applications
• Experience integrating third-party SaaS platforms using APIs, webhooks, and automated workflows
• Experience independently executing technical projects while collaborating with non-technical stakeholders
• Ability to demonstrate previous AI implementations, including architecture, technical decisions, tradeoffs, and measurable outcomes
• Experience handling sensitive, confidential, or business-critical information
• Strong understanding of AI workflow architecture, LLM integration, structured outputs, and prompt orchestration
• Ability to develop and maintain APIs, database-backed applications, and automated data pipelines
• Ability to integrate third-party platforms through APIs, webhooks, and workflow automations
• Experience developing testing procedures, validating integrations, and troubleshooting technical issues
• Ability to implement human-review processes for AI-generated outputs
• Strong understanding of data security, confidentiality, and access permissions
• Ability to develop intuitive internal tools for non-technical users
• Preferred: experience with OpenAI, Anthropic/Claude, LangChain, LlamaIndex, n8n, Make, Zapier, Supabase, PostgreSQL, AWS, GCP, or similar technologies
• Preferred: experience with call-transcript analysis, scoring models, structured reporting, or human-review workflows
• Preferred: experience building internal CRM, research, sales-operations, or data-enrichment tools
• Preferred: experience in financial services, professional services, M&A, legal, or other confidential-information industries
• Must be available to work 9:00 AM–5:00 PM EST
• Resume must be submitted in English and PDF format
• Must complete the application form and record a video showcasing skill sets