This AI Automation Engineer role focuses on designing, building, deploying, and maintaining AI-powered internal tools that automate research, buyer evaluation, briefing preparation, and other business workflows for a B2B advisory business. The Engineer will translate business use cases into technical specifications and integrate internal tools with platforms like Fireflies, Streak CRM, and Google Workspace. Day-to-day work covers AI application development, API integrations, testing, and data security in a fully remote setup during U.S. business hours.

• Job Location: Remote
• Employment Type: Contract
• Salary: $2.5K – $3.4K per month

The hiring company hasn't published detailed background information for this listing. This role was sourced from details made publicly available at the time of posting. Applicants should check the official job page for the latest company information.

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

• 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
• 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
• 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 to communicate technical decisions and implementation tradeoffs to business stakeholders
• Ability to independently manage development responsibilities while adapting to evolving requirements
• Experience with OpenAI, Anthropic/Claude, LangChain, LlamaIndex, n8n, Make, Zapier, Supabase, PostgreSQL, AWS, GCP, or similar technologies is preferred
• Must be available to work during U.S. business hours aligned with the client's time zone

How to Apply
Interested candidates should Apply here, filling in the application form and recording a video showcasing their skill sets.

Why This Job Might Be a Good Fit
This role suits a software engineer with hands-on AI automation experience who wants to build internal tools for a confidential advisory business rather than consumer-facing products. Because the position covers LLM integration, API workflows, and human-in-the-loop systems, it builds in-demand AI engineering skills that transfer across professional services, M&A, and enterprise automation.

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