[Remote] Staff AI Engineer

Note: The job is a remote job and is open to candidates in USA. The Aspen Group (TAG) is a leading retail healthcare business support organization in the U.S., dedicated to enhancing healthcare experiences for consumers. They are seeking a Staff AI Engineer to join their AI team, focusing on delivering innovative AI-driven solutions for the healthcare enterprise.

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 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

Skills

• 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
• 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
• Experience automating, architecting and governing production grade MLOps infrastructure to scale, optimize, and observe AI workloads

Benefits

• Paid time off
• Health
• Dental
• Vision
• 401(k) savings plan with match

Company Overview

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