Staff AI Engineer

TAG - The Aspen Group

Staff AI Engineer developing innovative AI solutions for healthcare enterprise using modern AI systems and frameworks. Collaborating with cross-functional teams to implement and monitor AI systems at scale.

Posted 6/11/2026full-timeRemote • Illinois • 🇺🇸 United StatesLead💰 $170,000 - $200,000 per yearWebsite

Tech Stack

Tools & technologies

BigQueryCloudKubernetesPython

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI engineeringML engineeringsoftware engineeringplatform engineeringdistributed trainingonline inferencelow latency serving architecturesPythonLLM integration workflowsMCP

Soft Skills

cross-functional collaborationtechnical specification translationobservabilityautomation strategiesreliabilityperformance optimization

Certifications

BS in Computer Science