Job Description
Resource 1 is excited to announce an opportunity for a Senior AI Engineer to join our client in the Healthcare industry on a long-term contract.This position is fully remote, allowing you to work from anywhere in the US.Initially set for 6 months, there is strong potential for contract extensions.Key Responsibilities:Develop and enhance large-scale multi-agent systems by utilizing cutting-edge LLMs and autonomous agent frameworks, employing tools such as Google ADK, Agentspace, MCP, RAG, and A2A orchestration.Contribute to the design and implementation of RAG pipelines with BigQuery and Vertex AI to ensure accuracy and knowledge grounding.Implement and optimize workflows for agent reasoning encompassing orchestration, grounding, decision-making, and multi-step reasoning.Build and maintain distributed training workflows, online inference systems, and low-latency serving architectures utilizing Google Cloud services.Develop secure and scalable AI components, including reusable orchestration layers, connectors, and observability hooks.Engage in the development of governance and compliance frameworks for agents that meet enterprise standards.Translate business requirements into actionable technical tasks and actively engage in solution design discussions.Support deployment pipelines and ensure operational monitoring, troubleshooting, and optimization of production AI systems.Required Qualifications:Bachelor's degree in Computer Science, AI/ML, or a related technical field.Demonstrable experience in Generative AI and agentic AI development.A minimum of 4-5 years in AI/ML engineering or applied machine learning.Proven experience in building and deploying production AI/ML systems.Strong understanding of modern model architectures, such as transformers, embeddings, and prompt engineering.Hands-on expertise with Vertex AI (training, pipelines, deployment, orchestration, and monitoring) along with Google Cloud native AI services.Familiarity with one or more agent frameworks (e.g., Google ADK, Agentspace, LangChain, LlamaIndex, CrewAI, or AutoGen).Proficient in Python and LLM integration, including MCP and A2A orchestration.Experience working with Kubernetes, Cloud Run, Dataflow, or Pub/Sub.Preferred Qualifications:Experience with AI observability, responsible AI frameworks, and model monitoring tools such as Vertex AI Monitoring and BigQuery logging.Knowledge of multi-modal models and advanced optimization strategies.Contributions to open-source AI projects or published applied research..