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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Integrator - **Company:** EZMARKETING - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $70,000.0 - $80,000.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Microsoft Windows, Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Automation of Tests, Information Systems, Databases, Data Infrastructure, Data Security, Document Management Systems, Python (Programming Language), Automation of Marketing, Microsoft Software, QuickBooks (Software), SQL Databases, Systems Integration, TypeScript, Large Language Models, Grafana, Data Lakes, AI Platforms, Information Technology, Tools for Reporting, Api Design, Webhooks, Automation Anywhere, Golang, Programming Languages - **Published:** August 5, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=af241f523b0ad831 ## About the Role * Integration & Automation: Proven experience integrating AI services into production systems; event-driven and scheduled automations; API-first architecture. * Data & Infrastructure: Hands-on experience with data lakes, modern data platforms, and programming languages; ability to design flows across raw, curated, analytics, and dashboard layers. * MCP: Understanding of Model Context Protocol architecture; experience implementing MCP servers and clients for agentic workflows. * Client Delivery: Manage technical projects from discovery through deployment; excellent communication with technical and non-technical stakeholders; experience with marketing and IT teams preferred. * Security & Compliance: AI security best practices (prompt injection, adversarial input, access control, output validation, secure inference); GDPR/CCPA compliance; secure data handling., * Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field. * 3+ years of experience in technical integration, solutions engineering, AI engineering * Proficiency in Python and at least one additional language (e.g., TypeScript, JavaScript, Go, or SQL). * Hands-on experience with LLM APIs such as OpenAI, Anthropic, Google Gemini, or comparable platforms. * Experience with API development. * Familiarity with marketing technology ecosystems (CRMs, CDPs, ad platforms, email/SMS, analytics, and reporting tools). * Strong problem-solving skills and a consultative mindset. * Strong project ownership, including the ability to manage priorities, communicate risks, and move a build forward without constant direction. * Insatiable curiosity: you test emerging AI tools and models independently and can explain plainly why one approach is better than another. * Comfortable leading client discovery, presenting your work, and contributing to a sales conversation, even if closing is not your primary strength. * Experience connecting AI solutions with CRM, ERP, document management, ticketing, accounting, or Microsoft 365 environments. * Experience with AI evaluation frameworks, observability tools, automated testing, or model-routing strategies., * AI Development: 2 years (Preferred) ## Description We're looking for an AI Builder Integrator to bring AI technology and real-world business results to small businesses. You'll build secure dashboards, workflow automations, and AI agents that work in production for both inside our agency and for our clients. If you love to architect AI agents, work flows and systems, then you will love this position. You should also be comfortable enough in front of clients to lead discovery, demonstrate solutions, and help close the deal. You'll help establish EZMarketing's AI practice inside a business and the opportunity to shape the technology, processes, and team from the ground floor. Key Responsibilities You would be responsible for building and implementing AI systems inside our agency as well as integrating AI capabilities into client companies. It is critical that every solution is reliable, secure, and measurable. You will work across internal operations and client engagements, this includes connecting AI models, data sources, automation platforms, and marketing tools into cohesive systems that drive efficiency and performance. AI Implementation Responsibilities * Identify, evaluate, and deploy AI tools and automations that improve operations across strategy, creative, media, analytics, and account management. * Integrate AI systems with existing platforms (project management, CRM, analytics, Microsoft, Quickbooks and reporting tools). * Build secure internal and client-facing dashboards, internal tools, and workflow applications. * Integrate AI solutions with systems through APIs, MCP's, webhooks, databases, and automation platforms. * Cost analysis of Model token usage, API fees, infrastructure costs, and ongoing support requirements. * Lead or support client discovery sessions to identify process bottlenecks, requirements, risks, and measurable outcomes. * Translate discovery findings into solution architecture, demonstrations, project scopes, and proposals. * Support opportunities through the sales process by clearly explaining the proposed solution, value, limitations, and implementation approach. * Establish reusable development standards, security practices, testing procedures, and deployment processes. * Build and maintain internal AI workflows that reduce manual work, accelerate insight generation, and improve decision-making. * Establish internal standards for AI usage, prompt libraries, automation governance, and quality control. * Train and support teams on AI tools, workflows, and best practices. * Lead client workshops, discovery sessions, and solution demonstrations. * Provide ongoing support, optimization, and expansion of AI programs. ## Related Videos - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Beyond Webhooks: The Future of Scalable API Event Delivery](https://www.wearedevelopers.com/videos/100312-beyond-webhooks-the-future-of-scalable-api-event-delivery) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [The State of WebDev AI 2025 Results: What Can We Learn?](https://www.wearedevelopers.com/magazine/581-the-state-of-webdev-ai-2025-results-what-can-we-learn) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)