Job Title: Senior AI Engineer (LLM / Agent Systems) Role Overview Join a high-growth, venture-backed healthcare AI company building next-generation technology to transform clinical and operational workflows across post-acute care. The platform combines proprietary sensing technology, predictive analytics, and emerging AI capabilities to proactively identify risk and improve patient outcomes at scale. The company is now expanding into a new AI-driven product layer focused on LLM-powered workflows and agent-based systems that unify clinical, operational, and financial data into a single intelligent interface. Think of it as a domain-specific AI platform enabling real-time decision-making across healthcare environments. This role sits at the intersection of engineering, product, and customer delivery. You will design and deploy production-grade AI agents, work directly with customers, and play a key role in shaping how AI is applied in real-world clinical settings. Key Responsibilities: • Design and deploy LLM-powered agents and workflows for real-world use cases (e.g., automation, insights, operational decisioning) • Translate ambiguous customer requirements into scalable, production-ready AI systems • Build and integrate pipelines across APIs, data platforms, and external systems (REST, webhooks, event streams) • Configure and optimize RAG pipelines, vector databases, and context management systems • Partner with Sales during pre-sales to prototype solutions, whiteboard architectures, and define implementation scope • Own end-to-end delivery from initial prototype through production deployment and iteration • Analyze system performance (accuracy, hallucination rates, outcomes) and continuously improve models and workflows • Collaborate cross-functionally with engineering, product, and customer stakeholders • Travel to customer sites (~25%) to support deployments, training, and executive presentations • Identify expansion opportunities and support additional use cases post-deployment Education & Qualifications: • 5–10+ years of experience in software engineering, AI engineering, solutions engineering, or similar hands-on technical roles • Strong experience building and shipping production systems (not just prototypes or research work) • Proficiency with APIs, integrations, and backend development (Python, Node.js/TypeScript, or similar) • Experience working with LLMs and modern AI tooling (OpenAI, Anthropic, or similar ecosystems) • Familiarity with agent frameworks, RAG architectures, or context orchestration systems • Ability to operate in ambiguous environments and take full ownership of outcomes • Strong communication skills with the ability to translate complex technical concepts to non-technical stakeholders • Comfortable working in a fast-paced, high-growth startup environment Preferred Experience: • Hands-on experience with tools such as LangChain, LangGraph, AutoGen, DSPy, or similar frameworks • Experience building AI systems that interact with real-world data (e.g., time-series, operational systems, or large-scale datasets) • Background in regulated environments (e.g., healthcare, fintech, or similar) • Experience owning both pre-sales and post-sales technical delivery • Exposure to enterprise system integrations (e.g., event-driven architectures, streaming, or workflow automation) • Advanced degrees (MS/PhD) from strong technical programs are valued but not required Why Us: • Opportunity to build next-generation AI systems with real-world impact at scale • Work on a new product initiative centered around LLMs, agents, and intelligent workflows • High ownership role with direct influence on product direction and customer outcomes • Fast-growing company with strong traction and significant enterprise demand • Work alongside a highly technical, mission-driven team focused on meaningful problems • Exposure to both cutting-edge AI and real-world deployment challenges Benefits and Perks: • $120k-220k DOE + bonus + equity • 100% company-paid medical, dental, and vision insurance • 401(k) with company match • Generous PTO • Paid parental leave • Commuter benefits • Professional development support • Company retreats and team events Applicants must be currently authorized to work in the United States on a full-time basis now and in the future. This position does not offer sponsorship. #LI-EC1