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LLM Engineer

Trivium ยท Canada

Full-timeLeadNode.jsPythonTypeScriptLangChainOpenAI

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About the Role

### AI Agent Engineer (Backend / LLM Systems) ๐ŸŒ Remote (International Candidates Welcome) ๐Ÿ’ฐ Salary: $30,000 โ€“ $60,000 USD ๐Ÿ•’ Full-Time ๐Ÿš€ Early-Stage Startup ### About the Role *DDS Marketing** is looking for an AI Agent Engineer to own the end-to-end development of AI-powered automation modules that power marketing, operations, and patient engagement for healthcare practices. You will work directly with the founder, who oversees architecture and product direction, and collaborate with one additional developer currently focused on voice AI systems. This role is ideal for someone who enjoys building production AI systems quickly, integrating APIs, and shipping autonomous agents that deliver real-world outcomes. ### What You'll Build You will design and deploy a series of AI agents on a 4โ€“5 week sprint cadence, including: ### SEO Agent Automates content production and search growth. Responsibilities include Automated blog generationKeyword strategy and researchSERP monitoringCMS publishing pipeline integration ### Patient Journey Agent Coordinates automated patient communication workflows using real-time data. Examples include Appointment remindersFollow-up campaignsPatient reactivationReview generationMulti-step messaging orchestration ### Ad Deployment Agent Automates digital marketing campaign creation and optimization. Capabilities include Programmatic campaign creationBudget optimizationLead attribution trackingIntegration with CRM and marketing platforms ### Voice Agent Improvements You will iterate on an existing AI voice scheduling system built using the OpenAI Realtime API. Responsibilities include Improving call reliabilityEnhancing conversational logicScaling inbound/outbound automationIntegrating voice agents with CRM workflows Voice stack includes integrations such as ElevenLabs. ### What You'll Do Design, build, and deploy AI agent modules from architecture through productionShip new agent capabilities every 4โ€“5 weeksIntegrate with third-party APIs including:GoHighLevelNexHealthOpenDentalStripeMeta AdsGoogle AdsBuild LLM-based automation using APIs from OpenAI and AnthropicCreate prompt chains, tool-use patterns, and structured output pipelinesImplement evaluation pipelines and observability tools such as Langfuse and Weights & BiasesManage CI/CD, deployment, and monitoring for all agent servicesCollaborate asynchronously through Slack and GitHubContribute to architecture decisions including data models, agent state machines, and error handling Deployment infrastructure includes platforms like Railway. ### Requirements ### Core Experience 5+ years of software development experience2+ years building API-heavy backend systemsStrong experience with Python or Node.js / TypeScript ### AI & LLM Systems Hands-on experience with Prompt engineeringFunction calling / tool useStructured output parsingRetrieval-Augmented Generation (RAG)Agent frameworks such as LangChain or CrewAI ### Backend & Integrations Strong API integration experienceExperience integrating multiple third-party services in a single systemComfortable handling authentication, rate limits, webhooks, and data normalization ### Infrastructure Ownership You should be comfortable owning infrastructure including CI/CD pipelinesContainerized deploymentsLogging and monitoringService reliability and alerting ### Work Style Self-directed and able to ship independentlyComfortable working in a startup environmentStrong written communication in async workflowsCollaborative and constructive in code reviews ### Nice to Have Experience with GoHighLevel, NexHealth, or OpenDentalExperience with marketing automation systems or CRM integrationsFamiliarity with voice AI systems using Twilio or ElevenLabsPrior startup or early-stage product experienceExperience with local LLM inference tools like Ollama or vLLM ### Benefits ๐Ÿ’ฐ $30,000 โ€“ $60,000 USD annually (based on experience) ๐ŸŒ Remote role ๐Ÿ“ˆ Opportunity to work on cutting-edge AI agent systems in a fast-moving startup

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