AI Solutions Engineer (SMB Consulting)

We're looking for an AI Solutions Engineer to join a boutique AI consulting firm that builds practical, high-impact solutions for small and midsize businesses.The ideal profile is a former full stack software engineer who has evolved into a forward deployed, client-facing role and is comfortable doing both. You will sit in front of clients, understand their business problems, translate those problems into technical architectures, and build the solutions yourself. You do not hand off to another team. You design, build, deploy, and support.This is not a pure engineering role and it is not a pure consulting role. It is both. If you can hold a professional conversation with a small business owner, earn their trust, and then go build them something that actually works, this role is built for you.Why You'll Want to JoinYou will be paid in USD (bi-monthly: every 15th and 30th)Paid Time Off in accordance with company policyObservance of Holidays per company guidelines100% remote setup so you can work wherever you're most productiveProject-based engagement to start with clear path to part-time or full-timeDirect client exposure from day one with real ownership over solutions you design and buildWhat You'll Work OnClient-Facing Solution DesignEngage directly with small and midsize business clients to understand their workflows, pain points, and goalsTranslate business requirements, pitch concepts, and operational processes into clear technical architectures and implementation plansProduce system diagrams, integration maps, and technical recommendations that non-technical business owners can understand and act onPresent solutions confidently and adapt communication style to match the client's level of technical fluencyAI Agent and Workflow ImplementationDesign, build, and deploy custom AI agents and automated workflows using orchestration platforms such as Make.com, n8n, Zapier, or Lindy.aiIntegrate AI capabilities into client workflows in ways that are practical, reliable, and maintainable without a large technical team to support themAssess new tools quickly, recommend the right implementation path, and build solutions that prioritize reliability over complexitySystems Integration and Custom DevelopmentConnect client applications, CRMs, ERPs, databases, and communication tools through API integrationsWrite and troubleshoot lightweight Python or JavaScript code to handle API calls, data transformation, business logic, and edge cases that no-code tools cannot coverConfigure and manage cloud services as needed to support client deploymentsDeploy integrations with appropriate error handling, logging, and basic security practices so solutions stay stable after handoffTesting, Documentation, and Ongoing SupportValidate solutions end to end to ensure they work reliably and handle expected failure cases before going liveProduce clear technical documentation, integration notes, and handoff materials that can be supported and expanded over timeAssist with ongoing maintenance, monitoring, troubleshooting, and iterative improvements for deployed workflowsWhat You BringBackground as a full stack software engineer with a natural evolution toward client-facing, solutions-oriented workStrong proficiency in Python and JavaScript with working knowledge of SQLHands-on experience designing and implementing AI-enabled workflows using orchestration platforms such as Make.com, n8n, Zapier, or similar toolsProven ability to connect applications via APIs and build integrations that work reliably in productionComfort translating business problems into technical solutions without needing deep theoretical guidanceExcellent written and verbal communication in English, both in client-facing conversations and in technical documentationExperience working directly with clients or business stakeholders in a consulting, agency, or solutions engineering capacityUnderstanding of SMB business environments and what practical, low-overhead solutions look like for that marketNice to HaveAI, cloud, or software certifications such as AWS, Azure, Google Cloud, OpenAI, or automation platform certificationsKnowledge of LLMs, vector databases, and prompt engineeringFamiliarity with common SMB tools such as HubSpot, Salesforce, QuickBooks, or similar platformsExperience with OAuth, API tokens, environment variables, and deployment configuration basicsFamiliarity with lightweight databases, data mapping, and troubleshooting broken integrationsExperience producing architecture diagrams or implementation plans for non-technical stakeholdersHow to ApplyPlease include:Your updated resumeA short Loom video (1 to 2 minutes) introducing yourself, describing your engineering background, and walking through a client-facing or solutions engineering project you owned from discovery through deploymentOnly candidates who submit a Loom video will be moved to the next step of the hiring process.If you are a builder who can also sell the solution, communicate with clarity at ever