AI Agent Engineer

• Design, develop, and deploy AI agent modules across marketing, operations, and patient engagement workflows.
• Build and maintain SEO, patient journey, ad deployment, and voice AI agents, ensuring reliable, autonomous operation.
• Integrate agents with multiple APIs and platforms, including CRM, marketing, and patient management systems.
• Create prompt chains, structured output pipelines, and tool-use patterns for LLM-based automation.
• Implement CI/CD, monitoring, logging, and observability tools to maintain agent reliability and performance.
• Collaborate asynchronously with team members, participate in code reviews, and contribute to architecture decisions.
• Iterate on existing AI systems, improve functionality, and optimize performance for real-world outcomes.

Requirements:5+ years of software development experience, including 2+ years building API-heavy backend systems.Strong experience with Python or Node.js / TypeScript.Hands-on experience with LLMs and AI agent frameworks, including prompt engineering, tool use, structured output parsing, RAG, LangChain, or CrewAI.Proven experience integrating multiple third-party APIs and handling authentication, rate limits, webhooks, and data normalization.Comfort owning infrastructure, including containerized deployments, CI/CD pipelines, logging, monitoring, and alerting.Self-directed, able to work independently in a fast-paced startup environment, with strong async communication skills.Nice-to-have: experience with GoHighLevel, NexHealth, OpenDental, marketing automation, CRM systems, voice AI (Twilio, ElevenLabs), or local LLM inference tools.Benefits:Annual salary: $30,000 - $60,000 USD (depending on experience).Fully remote position with flexible work arrangements.Opportunity to work on