AI Engineer
Job Description
On-site opportunity in Woodland Hills, CA. This AI Engineer role at GoodSuite is a builder-focused position to design and deploy AI-powered automation across internal operations, integrate LLMs with internal systems, and lead internal AI adoption with direct access to leadership.
Responsibilities
- Design and deploy AI-powered automation across internal operations — service delivery, billing, quoting, onboarding, and client communications
- Build and maintain AI tools, agents, dashboards, and workflows that eliminate manual work and create measurable time savings
- Integrate LLMs with internal systems, SaaS tools, databases, APIs, and automation platforms
- Lead GoodSuite’s internal AI adoption — training staff, identifying use cases, and driving actual usage of the tools
- Evaluate and implement AI-forward platforms including workflow automation, LLM integrations, and RMM/PSA enhancements
- Partner with the CRO and COO to identify automation opportunities that support revenue growth and margin improvement
- Build the foundation for AI-enabled client-facing services for the managed IT client base
- Stay relentlessly current and act as the eyes and ears on what’s coming next
Requirements
- You are obsessive about AI, not as a trend but as a craft. You build things and ship them
- Hands-on experience with LLM APIs such as OpenAI, Anthropic/Claude, Gemini, or similar
- Proficient with Python and/or TypeScript/Node.js, and comfortable with frameworks like FastAPI, Flask, Express.js, or similar
- Experience with APIs, webhooks, databases, and workflow automation platforms like n8n, Make, Zapier, or Power Automate
- Ability to build practical internal tools using React, Next.js, Retool, Streamlit, or similar when needed
- Experience in or around an MSP, IT services, SaaS, service business, or technology company — understanding operational realities
- Clear communicator who can explain complex tools to non-technical stakeholders without condescension
- Work with urgency; proactively identify and build solutions rather than waiting for directions
- Comfortable with ambiguity and adept at shaping the role as it evolves
- A portfolio, GitHub, side project, internal tool, or live product that demonstrates actual hands-on building
- Technologies and platforms we work with include: OpenAI, Anthropic/Claude, Gemini, Python, TypeScript, Node.js, FastAPI, Flask, Express.js, n8n, Make, Zapier, Power Automate, React, Next.js, Retool, Streamlit, ConnectWise Manage, ConnectWise Automate, Microsoft 365 automation, Azure AI services, Microsoft Graph, SharePoint, Teams, RAG, embeddings, vector databases, document processing, knowledge-base search, and AI evaluation workflows
NICE TO HAVE
- Experience with ConnectWise Manage, Automate, or similar PSA/RMM platforms
- Familiarity with Microsoft 365 automation, Power Automate, Azure AI services, Microsoft Graph, SharePoint, or Teams integrations
- Experience with RAG, embeddings, vector databases, document processing, knowledge-base search, or AI evaluation workflows
- Experience building internal-facing AI dashboards, reporting tools, copilots, or client-facing AI features
- Background in SOC, cybersecurity automation, compliance tooling, or IT operations