The Aspen Group

Healthcare

StaffAIEngineer

$170–200k Illinois, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Staff candidates.

The Brief

“Staff AI Engineer at The Aspen Group. Skills: AI Engineering, Agentic AI, LLM Architecture, Software Engineering. Architect enterprise-scale multi-agent systems. Develop enterprise-scale multi-agent systems”

Industry & Context.

Healthcare
Problems you'll solve

Multi-step reasoning

What They're Looking For.

Must Have

BS in Computer Science or equivalent experience, 2+ years Agentic AI engineering, 4+ years AI/ML engineering, 8+ years software engineering or platform engineering, Proven track record building/deploying production AI/ML systems, Deep understanding modern AI model architectures, Hands-on expertise Vertex AI, Hands-on agent orchestration frameworks, Proficiency in Python, Proficiency LLM integration workflows, Proficiency MCP for tool integration, Proficiency A2A orchestration, Expertise distributed training, Expertise online inference, Expertise low latency serving architectures, Experience Kubernetes, Experience Cloud Run, Experience Dataflow/PubSub

Nice to Have

Experience AI governance frameworks, Experience responsible AI practices, Contributions to open-source AI projects, Publications in leading AI/ML conferences, Experience multi-modal models, Experience advanced optimization strategies, Experience automating MLOps infrastructure, Experience architecting MLOps infrastructure, Experience governing MLOps infrastructure

What You'll Do.

Architect enterprise-scale multi-agent systems

Develop enterprise-scale multi-agent systems

Leverage autonomous agent frameworks

Implement RAG pipelines

Optimize agents for orchestration

Optimize agents for knowledge grounding

Optimize agents for multi-step reasoning

Optimize agents for decision-making

Design distributed training workflows

Implement distributed training workflows

Design online inference systems

Implement online inference systems

Design low latency serving architectures

Implement low latency serving architectures

Engineer scalable AI fabric

Engineer secure AI fabric

Engineer compliant AI fabric

Engineer production-grade AI fabric

Engineer AI agent workflows

Create reusable agent orchestration layers

Create reusable observability hooks

Create reusable governance frameworks

Accelerate Agentic AI adoption

Partner with cross-functional stakeholders

Translate business requirements

Own full AI development lifecycle

Implement AI system reliability strategies

Implement AI system performance strategies

How You'll Work.

Team & Collaboration

Cross-functional stakeholders

Full Job Description

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and Lovet. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale. **Job Description:** As part of our continued investment in AI-driven innovation, we are looking for a **Staff AI Engineer** to join our growing AI team. This is a hands-on role delivering innovative solutions for the healthcare enterprise. The ideal candidate will bring deep expertise in modern AI systems, multi-agent systems & frameworks, LLM-based architecture, and software engineering. **Key Responsibilities:** * Architect and develop enterprise-scale multi-agent systems leveraging LLMs and autonomous agent frameworks using Google ADK, Agentspace, MCP, RAG, and A2A orchestration. * Design and implement RAG pipelines using BigQuery and Vertex AI Engine for knowledge grounding and factually accurate responses. * Optimize agents for orchestration, knowledge grounding, multi-step reasoning, and decision-making. * Design and implement distributed training workflows, online inference systems, and low latency serving architectures optimized for real-world performance, using Google cloud-native services. * Engineer scal

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