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, confidenti