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.

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.

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.

Fully Remote | 9:00 AM – 5:00 PM EST

• 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.

• 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.

• 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.

• 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.

• 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…