AI Automation Engineer

This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone. Client Overview Our client is a B2B advisory business that works with confidential client, buyer, and transaction-related information. The company is looking to develop internal AI-powered tools and automations to improve research, buyer evaluation, internal briefings, and operational workflows. Role Overview The AI Automation Engineer will design, build, deploy, and maintain AI-powered internal tools that automate research, buyer evaluation, briefing preparation, and other business workflows. The ideal candidate has a strong coding foundation and proven experience building functional AI applications using Claude Code, ChatGPT/Codex, or similar agentic development environments. Location Fully Remote | 9:00 AM – 5:00 PM EST Key Responsibilities AI Application Development & Workflow Automation • Design, build, test, deploy, and maintain AI-powered internal applications, automations, and workflow integrations. • Translate business use cases into technical specifications and implementation plans in collaboration with leadership. • Recommend technical approaches, identify implementation considerations, and refine solutions as requirements evolve. • Use Claude Code, ChatGPT/Codex, and similar agentic development environments to build, troubleshoot, and improve applications. • Evaluate and recommend AI models, development tools, and implementation approaches based on business requirements. Buyer Research & AI-Powered Evaluation • Develop workflows that combine client and listing information, market data, and structured research to identify potential buyers and strategic acquirers. • Build systems that generate structured target lists for internal review and verification. • Create AI-assisted buyer evaluation workflows using call transcripts, buyer information, internal scoring criteria, and leadership input. • Develop automated processes for generating buyer scorecards, deal-team briefings, and seller-facing buyer summaries. • Incorporate human-in-the-loop review processes to ensure AI-generated outputs are verified before external use. API Integrations & Data Architecture • Integrate internal tools with Fireflies, Streak CRM, Google Workspace, internal documents, APIs, and other approved platforms. • Build and maintain APIs, databases, data pipelines, and backend systems supporting AI-powered workflows. • Develop user-facing internal applications with intuitive interfaces that support adoption by non-technical users. • Recommend appropriate development stacks, data architectures, AI models, and deployment approaches. • Maintain reliable data exchange between connected applications and internal workflows. Quality Assurance, Testing & Maintenance • Develop test plans based on technical specifications and business requirements. • Validate AI workflows, applications, and integrations through end-to-end testing. • Identify and troubleshoot technical issues, workflow failures, and edge cases. • Ensure internal tools function reliably before deployment and team adoption. • Maintain existing applications and improve functionality as business requirements evolve. Data Security & Stakeholder Collaboration • Apply appropriate data security, access permissions, and confidentiality standards when handling sensitive business information. • Collaborate with leadership to understand operational challenges and identify opportunities for AI automation. • Communicate technical recommendations, implementation tradeoffs, progress, and requirements to non-technical stakeholders. • Document technical decisions, workflows, maintenance requirements, and future development priorities. Qualifications Experience • 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 to develop and improve working applications. • Solid software development experience using Python, JavaScript/TypeScript, or a comparable programming language. • Experience working 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. Skills • Strong ability to use AI-assisted coding environments while independently evaluating, troubleshooting, and maintaining generated code. • Ability to translate business problems into technical requirements, implementation plans, and functional applications. • 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. • Ability to recommend suitable AI models, development technologies, data architectures, and deployment approaches. • 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. • Ability