Senior AI Engineer

Job Title: Senior AI Engineer (LLM / Agent Systems)

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.

• 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

• 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/Type Script, 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

• Hands‑on experience with tools such as Lang Chain, Lang Graph, Auto Gen, 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

• 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

• $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.