Staff AI Engineer

🔥 4 hours ago

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $170k - $200k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

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TAG - The Aspen Group

WebsiteLinkedInAll Job Openings

10,000+ employees

⚕️ Healthcare Insurance

Healthcare Insurance

TAG - The Aspen Group is a company focused on revolutionizing the healthcare sector by enhancing patient care and experience in various areas, including dentistry and walk-in medical care. The group supports its brands to break down barriers in dental care, foster professional growth, and make significant contributions to the healthcare industry. With a commitment to empowering its teams, The Aspen Group aims to restore smiles and confidence, making healthcare accessible and compassionate.

📋 Description

• 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 scalable, secure, compliant and production-grade AI fabric and AI agent workflows using Vertex AI and modern cloud-native technologies • 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

🎯 Requirements

• BS in Computer Science, or related technology field or equivalent experience • 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 • 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 • Strong hands-on expertise with Vertex AI (including model training, pipelines, orchestration, deployment, and monitoring) and Google’s Agentic AI stack • Hands-on with one or more of these agent orchestration frameworks: Google ADK/Agentspace, LangChain, LangGraph, LlamaIndex, CrewAI or AutoGen • 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

🏖️ Benefits

• paid time off • health insurance • dental insurance • vision insurance • 401(k) savings plan with match