Note: The job is a remote job and is open to candidates in USA. 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. They are seeking a Staff AI Engineer to join their growing AI team, responsible for 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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