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Principal Software Engineer (AI) ( US)

1 hour, 53 minutes ago
United States
Full-time
Lead
AI Engineer
Software Development
HIPAA
Apply Now
PointClickCare

PointClickCare

PointClickCare provides a leading cloud-based healthcare software platform that enables long-term and post-acute care providers to effectively manage the complete lifecycle of resident care while enhancing operational efficiency and improving resident ...

Health Care Providers & Services
1K-5K
Founded 2000
$232M raised
View All Jobs 46

Description

  • Lead the reference architecture for AI and agentic systems across key product domains, including orchestration, tool/function calling, memory, state management, data retrieval, safety, governance, and interoperability.
  • Design and deliver production-ready AI systems that are reliable, scalable, observable, performant, and cost-efficient.
  • Build platform-level AI and data capabilities such as model brokers, multi-model routing, orchestration services, evaluation frameworks, prompt/configuration/versioning systems, and telemetry and monitoring tooling.
  • Lead end-to-end AI data pipelines, including document ingestion, OCR, NER, preprocessing, chunking, embeddings, vector stores, and hybrid search.
  • Design offline and online evaluation processes for quality, latency, safety, and cost.
  • Partner with Product, Engineering, Architecture, Advanced Technology, SaaS Operations, data teams, and analytics teams to identify and validate high-value AI opportunities and measurable outcomes.
  • Guide product teams from problem framing through solution delivery, balancing feasibility, value, risk, and regulatory constraints.
  • Evaluate emerging AI tools, models, and frameworks, prototype new approaches, and translate successful experiments into scalable platform capabilities.
  • Ensure AI solutions include observability, logging, alerting, incident response, performance testing, cost optimization, safe rollout, experimentation, and rollback strategies.
  • Mentor and coach engineers while driving adoption of shared AI and data best practices across teams.

Requirements

  • Proven experience leading and delivering production AI systems across multiple engineering teams.
  • Strong AI engineering background with a data-first mindset and experience with large-scale data pipelines and analytics-driven evaluation.
  • Hands-on experience building with or extending modern AI/agent frameworks such as LangChain, LangGraph, AutoGen, CrewAI, LlamaIndex, or equivalent.
  • Deep understanding of RAG and agentic architectures, including embeddings, vector databases, evaluation harnesses, and cost/latency tradeoffs.
  • Experience designing or contributing to offline and online evaluation methodologies tied to product metrics and business outcomes.
  • Experience implementing security-by-design and responsible AI practices in regulated or enterprise SaaS environments.
  • Experience deploying AI systems in healthcare or other regulated industries, such as HIPAA-aligned environments, preferred.
  • Familiarity with model serving infrastructure, model broker patterns, and multi-model routing for performance and cost optimization, preferred.
  • Experience partnering closely with Product Management to identify and deliver AI-enabled product capabilities, preferred.
  • Master’s degree in Artificial Intelligence, Computer Science, or a related field, or equivalent practical experience.

Benefits

  • Benefits starting from Day 1.
  • Retirement plan matching.
  • Flexible paid time off.
  • Wellness support programs and resources.
  • Parental and caregiver leaves.
  • Fertility and adoption support.
  • Continuous development support program.
  • Employee assistance program.

Interested in this position?

Apply directly on the company website

Apply Now

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