Full Stack AI Engineer

TL;DR

Full Stack AI Engineer (Healthcare SaaS): Design AI integration patterns and architecture standards across the platform with an accent on LLM APIs, RAG systems, and production AI features. Focus on optimizing latency and costs, establishing evaluation frameworks, and advising on AI roadmap decisions.

Location: US-Remote

Salary: $130,000-170,000 USD

Company

Leading healthcare communications platform connecting providers, patients, and care teams to improve clinical collaboration and patient outcomes.

What you will do

• Design AI integration patterns and architecture standards across the SaaS platform
• Integrate LLM APIs (OpenAI, Anthropic, AWS Bedrock) into production features
• Build RAG systems, vector search, and embedding pipelines
• Optimize latency, inference cost, and hallucination guardrails
• Establish model evaluation, benchmarking, and observability processes
• Define cost controls, usage monitoring, and security/PHI handling constraints
• Evaluate use cases with Product for ROI and feasibility
• Advise leadership on build vs. buy decisions for AI capabilities

Requirements

• 5+ years software engineering experience with strong Python backend skills
• Production experience with LLM APIs, RAG systems, embeddings, and vector databases
• Cloud-native architecture experience, preferably AWS
• Experience in regulated or security-conscious environments
• Product-minded systems thinker, comfortable with ambiguity and executive communication

Culture & Benefits

• Remote first work environment
• Health, Dental, Vision, Life and Disability Insurance options available day one
• 401K with match and immediately vested
• 17 company holidays, 2 floating holidays plus competitive paid time off policy
• Internal Advancement Opportunities