AI Agent Engineer (Backend / LLM Systems) 🌍 Remote (International Candidates Welcome) 💰 Salary: $30,000 – $60,000 USD 🕒 Full-Time 🚀 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 4–5 week sprint cadence, including: 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 Voice stack includes integrations such as ElevenLabs. 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 Deployment infrastructure includes platforms like Railway.

• Create innovative, thought provoking, and highly leveraged “must-have insight” content • Develop new insights and ideas through thought leadership and offer compelling, actionable approaches to client's needs and requests • Develop in-depth analysis to identify the root cause of a client’s barriers or overall needs and reframe thinking to drive strategy forward • Demonstrate thought leadership in establishing insight positions across a team of analysts • Research, analyze and predict market trends and shifts to provide clients and vendors with actionable insights • Provide clients and prospects with actionable advice aligned to their designated content area via virtual or face-to-face interactions • Create and deliver high value presentation materials on and off stage for Gartner events • Support BTI and Sales: Provide sales support serving as voice of the market • Build credibility as an industry expert to represent Gartner insights, methodology and strategy • Identify research process improvements or develop new processes that help the team and BTI provide excellent service delivery

• Designing and implementing AI/LLM-powered systems to improve automation, design verification, and workflow efficiency • Collaborating with multi-functional engineering teams to find opportunities for AI integration and performance optimization • Developing and fine-tuning large language models tailored to semiconductor design and productivity applications • Evaluating new frameworks, architectures, and tools to improve efficiencies powered by artificial intelligence across the organization • Tracking and measuring AI impact using data-driven metrics to continuously refine solutions

• Design and deploy production-grade Agentic AI systems where LLMs serve as operational components to reason, explain, and make decisions within live workflows • Architect intelligent pipelines combining classical tools (OCR, fuzzy matching, structured query) with LLM-based validation, confidence scoring, fallback logic, and automated logging for auditability and continuous improvement • Translate ambiguous mission requirements into well-scoped AI system designs; apply prompt and context engineering, RAG, semantic search, and fine-tuning as appropriate; leverage AWS services including Bedrock, Textract, Lambda, and Step Functions • Use generative AI tooling to accelerate the full development lifecycle: requirements analysis, code generation, test coverage, documentation, and deployment scaffolding • Document and quality-assure all project work prior to client delivery; attend meetings with agency staff, vendors, and external stakeholders as needed • Lead or contribute to business development, internal tool-building, mentorship, or publication to strengthen Peregrine's AI capabilities and market position