THE Aspen Group

Staff AI Engineer

Remote, Illinois · Staff+

Sponsorship not specified$170k-$200kDetected 30 days ago

PythonBigQueryGCPKubernetesPlatform EngineeringMachine LearningData VisualizationNLPLLMsRAGAgentic AIMLOpsLangGraphAI Orchestration

About the role

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.
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.

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.
Create reusable agent orchestration layers, observability hooks, and governance frameworks that accelerate Agentic AI adoption across TAG brands.
Partner with cross-functional stakeholders in translating business requirements into technical specifications.
Own the full AI development lifecycle - from data collection and implementation to deployment and monitoring.
Implement intelligent observability and automation strategies to ensure AI system reliability and performance at scale.

2+ years of experience in Agentic AI engineering.
4+ years of experience in AI/ML engineering
8+ years of experience in software engineering, or platform engineering
Strong hands-on expertise with Vertex AI (including model training, pipelines, orchestration, deployment, and monitoring) and Google's Agentic AI stack.
Proficiency in Python, LLM integration workflows, MCP (Model Context Protocol) for tool integration and A2A (Agent-to-Agent) orchestration for multi-agent workflows.
Expertise in distributed training, online inference, and low latency serving architectures.
Experience with Kubernetes, Cloud Run, and Dataflow/PubSub for scalable deployment.
BS in Computer Science, or related technology field or equivalent experience.
Proven track record of building and deploying production-grade AI/ML systems at scale.
Deep understanding of modern AI model architectures (e.g., transformers, diffusion models) and system design.

Experience with AI governance frameworks and responsible AI practices (Vertex AI Model Monitoring, BigQuery logging, Looker dashboards).
Contributions to open-source AI projects or publications in leading AI/ML conferences.
Experience with multi-modal models and advanced optimization strategies & frameworks.

$170,000-$200,000/year, with a generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match.

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.

This listing is sourced directly from THE Aspen Group's careers page and normalized into a canonical job model.