• Design and develop AI agents using frameworks such as LangGraph and MCP-based architectures • Build agent interaction layers using tools such as CopilotKit, Vercel AI SDK, or similar • Develop and deploy AI services in AWS or Azure environments • Design and implement SAP integrations using OData services, Function Modules, CDS views, and APIs • Work with SAP data models to enable contextual retrieval and automation workflows • Collaborate with SAP Basis teams on connectivity, performance, and access management • Integrate AI capabilities into incident management and ticketing workflows such as ServiceNow • Develop reusable AI components supporting SAP-focused automation and operations • Collaborate with product and managed services teams to deliver production-ready AI systems

• Design, build, and operate AI systems that solve real business problems across Finom. • Move comfortably from prototype to production: shaping the solution, building the system, measuring quality, and improving it over time. • Work on high-impact initiatives across onboarding, customer support, AI accounting, fraud and risk workflows, document understanding, internal automation, and agentic systems used by multiple teams. • Deliver production-grade AI capabilities that create clear value for customers and the business.

• Design, build, and operate AI systems that solve real business problems across Finom. • Move comfortably from prototype to production: shaping the solution, building the system, measuring quality, and improving it over time. • Work on high-impact initiatives across onboarding, customer support, AI accounting, fraud and risk workflows, document understanding, internal automation, and agentic systems used by multiple teams. • Deliver production-grade AI capabilities that create clear value for customers and the business.

Role Description 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 - SEO Agent - Automates content production and search growth. - Responsibilities include: - Automated blog generation - Keyword strategy and research - SERP monitoring - CMS publishing pipeline integration - Patient Journey Agent - Coordinates automated patient communication workflows using real-time data. - Examples include: - Appointment reminders - Follow-up campaigns - Patient reactivation - Review generation - Multi-step messaging orchestration - Ad Deployment Agent - Automates digital marketing campaign creation and optimization. - Capabilities include: - Programmatic campaign creation - Budget optimization - Lead attribution tracking - Integration 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 reliability - Enhancing conversational logic - Scaling inbound/outbound automation - Integrating voice agents with CRM workflows What You’ll Do - Design, build, and deploy AI agent modules from architecture through production - Ship new agent capabilities every 4–5 weeks - Integrate with third-party APIs including: - GoHighLevel - NexHealth - OpenDental - Stripe - Meta Ads - Google Ads - Build LLM-based automation using APIs from OpenAI and Anthropic - Create prompt chains, tool-use patterns, and structured output pipelines - Implement evaluation pipelines and observability tools such as Langfuse and Weights & Biases - Manage CI/CD, deployment, and monitoring for all agent services - Collaborate asynchronously through Slack and GitHub - Contribute to architecture decisions including data models, agent state machines, and error handling Core Experience - 5+ years of software development experience - 2+ years building API-heavy backend systems - Strong experience with Python or Node.js / TypeScript AI & LLM Systems - Hands-on experience with: - Prompt engineering - Function calling / tool use - Structured output parsing - Retrieval-Augmented Generation (RAG) - Agent frameworks such as LangChain or CrewAI Backend & Integrations - Strong API integration experience - Experience integrating multiple third-party services in a single system - Comfortable handling authentication, rate limits, webhooks, and data normalization Infrastructure Ownership - You should be comfortable owning infrastructure including: - CI/CD pipelines - Containerized deployments - Logging and monitoring - Service reliability and alerting Work Style - Self-directed and able to ship independently - Comfortable working in a startup environment - Strong written communication in async workflows - Collaborative and constructive in code reviews Nice to Have - Experience with GoHighLevel, NexHealth, or OpenDental - Experience with marketing automation systems or CRM integrations - Familiarity with voice AI systems using Twilio or ElevenLabs - Prior startup or early-stage product experience - Experience with local LLM inference tools like Ollama or vLLM Salary 💰 $30,000 – $60,000 USD annually (based on experience) Location 🌍 Remote role Opportunity 📈 Opportunity to work on cutting-edge AI agent systems in a fast-moving startup