Essential Functions
- 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
Qualifications:
- 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
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